CN107613550A - Solve lock control method and Related product - Google Patents
Solve lock control method and Related product Download PDFInfo
- Publication number
- CN107613550A CN107613550A CN201710891744.0A CN201710891744A CN107613550A CN 107613550 A CN107613550 A CN 107613550A CN 201710891744 A CN201710891744 A CN 201710891744A CN 107613550 A CN107613550 A CN 107613550A
- Authority
- CN
- China
- Prior art keywords
- recognition
- face
- ambient parameter
- preparatory condition
- mobile terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Telephone Function (AREA)
- Studio Devices (AREA)
Abstract
The embodiment of the invention discloses one kind solution lock control method and Related product, wherein, method includes：Obtain ambient parameter；Detect whether the ambient parameter meets preparatory condition；When the ambient parameter is unsatisfactory for the preparatory condition, recognition of face pattern is not started；When the ambient parameter meets the preparatory condition, start the recognition of face pattern.The embodiment of the present invention can intelligently use face identification functions, reduce the power consumption of mobile terminal.
Description
Technical field
The present invention relates to technical field of mobile terminals, and in particular to one kind solution lock control method and Related product.
Background technology
With a large amount of popularization and applications of mobile terminal (mobile phone, tablet personal computer etc.), the application that mobile terminal can be supported is got over
Come more, function is stronger and stronger, and mobile terminal develops towards variation, personalized direction, and turning into can not in user's life
The appliance and electronic lacked.
At present, recognition of face is increasingly favored by mobile terminal production firm, in face recognition process, meeting
Camera is opened, carries out grabgraf, and carries out recognition of face, and it is often very power consumption to use hardware, graphics calculations, therefore,
How face identification functions are intelligently used, it is urgently to be resolved hurrily the problem of to reduce the power consumption of mobile terminal.
The content of the invention
The embodiments of the invention provide one kind solution lock control method and Related product, recognition of face can be intelligently used
Function, reduce the power consumption of mobile terminal.
In a first aspect, the embodiment of the present invention provides a kind of mobile terminal, including：Application processor (Application
Processor, AP), and with the AP environmental sensors being connected and face identification device, wherein,
The environmental sensor, for obtaining ambient parameter；
The AP, for detecting whether the ambient parameter meets preparatory condition；It is unsatisfactory in the ambient parameter described
During preparatory condition, the face identification device is controlled not start recognition of face pattern；And described in meeting in the ambient parameter
During preparatory condition, the face identification device is controlled to start the recognition of face pattern.
Second aspect, the embodiments of the invention provide one kind to solve lock control method, applied to including application processor AP, with
And with the AP environmental sensors being connected and the mobile terminal of face identification device, wherein, methods described includes：
The environmental sensor obtains ambient parameter；
The AP detects whether the ambient parameter meets preparatory condition；The default bar is unsatisfactory in the ambient parameter
During part, the face identification device is controlled not start recognition of face pattern；And meet the default bar in the ambient parameter
During part, the face identification device is controlled to start the recognition of face pattern.
The third aspect, the embodiments of the invention provide one kind to solve lock control method, including：
Obtain ambient parameter；
Detect whether the ambient parameter meets preparatory condition；
When the ambient parameter is unsatisfactory for the preparatory condition, recognition of face pattern is not started；
When the ambient parameter meets the preparatory condition, start the recognition of face pattern.
Fourth aspect, the embodiments of the invention provide one kind to solve lock control device, including：
First acquisition unit, for obtaining ambient parameter；
Detection unit, for detecting whether the ambient parameter meets preparatory condition；
Execution unit, for when the ambient parameter is unsatisfactory for the preparatory condition, not starting recognition of face pattern；With
And when the ambient parameter meets the preparatory condition, start the recognition of face pattern.
5th aspect, the embodiments of the invention provide a kind of mobile terminal, including：Application processor AP and memory；With
And one or more programs, one or more of programs are stored in the memory, and it is configured to by the AP
Perform, described program includes being used for such as the instruction of the part or all of step described in the third aspect.
6th aspect, the embodiments of the invention provide a kind of computer-readable recording medium, wherein, it is described computer-readable
Storage medium is used to store computer program, wherein, the computer program causes computer to perform such as the embodiment of the present invention the
The instruction of part or all of step described in three aspects.
7th aspect, the embodiments of the invention provide a kind of computer program product, wherein, the computer program product
Non-transient computer-readable recording medium including storing computer program, the computer program are operable to make calculating
Machine is performed such as the part or all of step described in the third aspect of the embodiment of the present invention.The computer program product can be one
Individual software installation bag.
Implement the embodiment of the present invention, have the advantages that：
As can be seen that solution lock control method and Related product described in the embodiment of the present invention, can obtain environment ginseng
Number, whether detection ambient parameter meets preparatory condition, and when ambient parameter is unsatisfactory for preparatory condition, does not start recognition of face mould
Formula, when ambient parameter meets preparatory condition, start recognition of face pattern, it is seen then that judge whether properly to open by ambient parameter
Moving face recognition mode, it can not start recognition of face pattern under some unsuitable scenes, realize intelligent user
Face identification function, so as to reduce the power consumption of mobile terminal.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Figure 1A is a kind of configuration diagram of Example mobile terminals provided in an embodiment of the present invention；
Figure 1B is a kind of structural representation of mobile terminal provided in an embodiment of the present invention；
Fig. 1 C are a kind of another structural representations of mobile terminal provided in an embodiment of the present invention；
Fig. 1 D are a kind of schematic flow sheets for solving lock control method disclosed in the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of another solution lock control method disclosed in the embodiment of the present invention；
Fig. 3 is a kind of another structural representation of mobile terminal provided in an embodiment of the present invention；
Fig. 4 A are a kind of structural representations for solving lock control device provided in an embodiment of the present invention；
Fig. 4 B are a kind of another structural representations for solving lock control device provided in an embodiment of the present invention；
Fig. 4 C are a kind of another structural representations for solving lock control device provided in an embodiment of the present invention；
Fig. 4 D are a kind of another structural representations for solving lock control device provided in an embodiment of the present invention；
Fig. 4 E are a kind of another structural representations for solving lock control device provided in an embodiment of the present invention；
Fig. 5 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Term " first ", " second " in description and claims of this specification and above-mentioned accompanying drawing etc. are to be used to distinguish
Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that
It is to cover non-exclusive include.Such as process, method, system, product or the equipment for containing series of steps or unit do not have
The step of being defined in the step of having listed or unit, but alternatively also including not listing or unit, or alternatively also wrap
Include for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can wrap in conjunction with the embodiments
In at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Mobile terminal involved by the embodiment of the present invention can include the various handheld devices with radio communication function,
Mobile unit, wearable device, computing device or other processing equipments for being connected to radio modem, and various forms
User equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as mobile terminal.
The embodiment of the present invention is described in detail below.A kind of Example mobile terminals 1000 as shown in Figure 1A, the shifting
The face identification device of dynamic terminal 1000 can be camera 21, wherein, 21 can be single camera or dual camera, above-mentioned pair
Camera can be visible image capturing head with one, and one is infrared camera, or, both visible image capturing heads.It is above-mentioned
Camera 21 can be front camera or rear camera.
Figure 1B is referred to, Figure 1B is a kind of structural representation of shown mobile terminal 100, and the mobile terminal 100 wraps
Include：Application processor AP110, face identification device 120 and environmental sensor 130, wherein, the AP110 is connected by bus 150
Face identification device 120 and environmental sensor 130 are connect, further, refers to Fig. 1 C, Fig. 1 C are the mobile end described by Figure 1B
End 100 a kind of modification structures, for Figure 1B, Fig. 1 C also include vibrating sensor 140, motion sensor 160 and away from
From sensor 170, it is connected by bus 150 with AP110.Above-mentioned environmental sensor 130 can be used for detecting ambient parameter,
Environmental sensor 130 can be following at least one：Breathing detection sensor, ambient light sensor, electromagnetic detection sensor, ring
Border colour temperature detection sensor, alignment sensor, temperature sensor, humidity sensor etc., ambient parameter can be it is following at least
It is a kind of：Respiration parameter, ambient brightness, environment colour temperature, environmental magnetic field interference coefficient, weather condition, environment light source number, geographical position
Put etc., respiration parameter can be following at least one：Respiration rate, respiratory rate, Breathiness, respiratory curve etc..
Based on the mobile terminal described by Figure 1A-Fig. 1 C, can be used for implementing function such as：
The environmental sensor 130, for obtaining ambient parameter；
The AP110, for detecting whether the ambient parameter meets preparatory condition；Institute is unsatisfactory in the ambient parameter
When stating preparatory condition, the face identification device 120 is controlled not start recognition of face pattern；And meet in the ambient parameter
During the preparatory condition, the face identification device 120 is controlled to start the recognition of face pattern.
In a possible example, vibrating sensor 140, for obtaining the vibration frequency of mobile terminal；
After the ambient parameter meets in terms of the preparatory condition, the AP110 also particularly useful for：
When the vibration frequency is less than default vibration frequency, described the step of starting the recognition of face pattern is performed；
When the vibration frequency is more than or equal to the default vibration frequency, the recognition of face is not started described in execution
The step of pattern.
In a possible example, range sensor 170, for determining the distance between face and mobile terminal；
After the ambient parameter meets in terms of the preparatory condition, the AP110 also particularly useful for：
When the distance is less than pre-determined distance threshold value, perform described in the step of not starting recognition of face pattern.
When the distance is more than or equal to the pre-determined distance threshold value, the startup recognition of face pattern is performed
Step.
In a possible example, the AP110 also particularly useful for：
Obtain the current electric quantity of mobile terminal；
After the ambient parameter meets in terms of the preparatory condition, the AP110 also particularly useful for：
When the current electric quantity is more than or equal to default power threshold, the startup recognition of face pattern is performed
Step；
When the current electric quantity is less than the default power threshold, the recognition of face pattern is not started described in execution
Step.
In a possible example, after described start in terms of the recognition of face pattern, the AP110 is also specific
For：
Obtain acquisition parameters corresponding with the ambient parameter；
The face identification device 120, for being shot according to the acquisition parameters, obtain facial image；
The AP110 also particularly useful for：
The facial image is matched with default face template；And in the facial image and the default face
During template matches success, unblock operation is performed.
Based on the mobile terminal described by Figure 1A-Fig. 1 C, can be used for realizing a kind of solution lock control method, methods described bag
Include：
The environmental sensor 130 obtains ambient parameter；
The AP110 detects whether the ambient parameter meets preparatory condition；It is unsatisfactory in the ambient parameter described pre-
If during condition, the face identification device 120 is controlled not start recognition of face pattern；And described in meeting in the ambient parameter
During preparatory condition, the face identification device 120 is controlled to start the recognition of face pattern.
As can be seen that the solution lock control method described in the embodiment of the present invention, can obtain ambient parameter, environment is detected
Whether parameter meets preparatory condition, and when ambient parameter is unsatisfactory for preparatory condition, does not start recognition of face pattern, joins in environment
When number meets preparatory condition, start recognition of face pattern, it is seen then that judge whether properly to start recognition of face mould by ambient parameter
It formula, can not start recognition of face pattern under some unsuitable scenes, realize intellectuality and use face identification functions,
So as to it reduce the power consumption of mobile terminal.
Based on the mobile terminal described by Figure 1A-Fig. 1 C, Fig. 1 D are referred to, for a kind of unblock provided in an embodiment of the present invention
The embodiment schematic flow sheet of control method.Solution lock control method described in the present embodiment, it may include following steps：
101st, ambient parameter is obtained.
Wherein, above-mentioned ambient parameter can be following at least one：Ambient brightness, environment colour temperature, environmental magnetic field interference system
Number, respiration parameter, weather condition, environment light source number, geographical position etc., respiration parameter can be following at least one：Exhale
Inhale number, respiratory rate, Breathiness, respiratory curve etc..Ambient parameter can be gathered by environmental sensor, environmentally sensitive
Device can be following at least one：Ambient light sensor, breathing detection sensor, electromagnetic detection sensor, ambient color temperature detector are surveyed
Sensor, alignment sensor, temperature sensor, humidity sensor etc., for example, ambient light sensor can be used for gathering environment
Brightness, alignment sensor can obtain current location, and electromagnetic detection sensor can be used for detecting magnetic field interference strength, if interference
It is too strong, then IMAQ can be caused unsuccessful.
Alternatively, above-mentioned steps 101 can be implemented as follows：
In the case where putting out screen state, ambient parameter is obtained, or, under bright screen state, obtain ambient parameter.
102nd, detect whether the ambient parameter meets preparatory condition.
Wherein, above-mentioned preparatory condition can voluntarily be set by user, or, by system default.Above-mentioned preparatory condition can be with
It is limited for following at least one environment：Ambient brightness, magnetic field intensity, geographical position, breathing phenomenon (such as which one
Aspect can detect live body on the other hand can then detect user whether beside mobile terminal), temperature, humidity, environment colour temperature
Etc..For example, preparatory condition, which can be ambient brightness, is in the first preset range, the first preset range can voluntarily be set by user
Put, or, system default, in another example, preparatory condition can be that magnetic field intensity is in the second preset range, and the second preset range can
Voluntarily to be set by user, or, system default, in another example, preparatory condition can be that ambient brightness is in the first preset range
And magnetic field intensity is in second preset range etc., specifically, according to depending on actual conditions.
Alternatively, preparatory condition can be corresponding with season, or, can also be corresponding with user's custom, for example, 1 year
If the four seasons, the preparatory condition in spring and the preparatory condition in summer are different, in another example, the habits and customs of different phase differ
Sample, preparatory condition can also be different, preparatory condition can be subject to by artificial intelligence it is perfect, with the life preferably with user
Habit is mutually suitable.
For example, when ambient brightness is relatively low, then it can not start recognition of face, due to the people under dark situation, collected
Face image definition is relatively low, therefore does not start recognition of face pattern.
In another example when environment light source number is more, it is possible to cause light more chaotic, the picture quality of collection also may be used
Can be unintelligible, therefore do not start recognition of face pattern.
103rd, when the ambient parameter is unsatisfactory for the preparatory condition, recognition of face pattern is not started.
Wherein, when ambient parameter is unsatisfactory for preparatory condition, then recognition of face pattern can not be started, in this way, can drop
The power consumption of low mobile terminal.
104th, when the ambient parameter meets the preparatory condition, the recognition of face pattern is started.
Wherein, when ambient parameter meets preparatory condition, recognition of face pattern can be started, at this time, can be incited somebody to action
Face recognition accuracy rate ensures within the specific limits, to improve recognition of face efficiency.
Alternatively, before step 101, or, between step 101 and step 102, or, expire in the ambient parameter
During the foot preparatory condition, it may include steps of：
Obtain the vibration frequency of mobile terminal；
So, after when the ambient parameter meets the preparatory condition, can also comprise the following steps：
When the vibration frequency is less than default vibration frequency, described the step of starting the recognition of face pattern is performed；
When the vibration frequency is more than or equal to default vibration frequency, perform described in the step of not starting the recognition of face pattern.
Wherein it is possible to the vibration frequency of mobile terminal is detected by vibrating sensor, if vibration, to a certain extent,
Reflect whether user is kept in motion, if being kept in motion down, then mobile terminal is rocking, then shoots obtained figure
It is fuzzy as occurring, cause recognition of face to fail.Above-mentioned default vibration frequency can voluntarily be set by user or system default.
Therefore, when vibration frequency is less than default vibration frequency, the step of starting the recognition of face pattern is performed, it is big in vibration frequency
When default vibration frequency, the step of not starting recognition of face pattern is performed.
Alternatively, before step 101, or, between step 101 and step 102, or, expire in the ambient parameter
During the foot preparatory condition, it may include steps of：
A1, determine the distance between face and mobile terminal；
So, after when the ambient parameter meets the preparatory condition, can also comprise the following steps：
A2, when the distance is less than pre-determined distance threshold value, perform described in the step of not starting recognition of face pattern.
A3, when the distance is more than or equal to the pre-determined distance threshold value, perform and described start the recognition of face mould
The step of formula.
Wherein it is possible to the distance between face and mobile terminal are detected by range sensor, it is generally the case that if face
Nearer with camera, then the face collected is not complete, then can largely cause recognition of face to fail, and reduces recognition of face effect
Rate.Above-mentioned pre-determined distance threshold value can voluntarily be set by user or system default.When distance is less than pre-determined distance threshold value, hold
Capable the step of not starting recognition of face pattern.When distance is more than or equal to pre-determined distance threshold value, performs and start recognition of face mould
The step of formula.
Alternatively, before step 101, or, between step 101 and step 102, or, expire in the ambient parameter
During the foot preparatory condition, it may include steps of：
Obtain the current electric quantity of mobile terminal；
So, after when the ambient parameter meets the preparatory condition, can also comprise the following steps：
When the vibration frequency is more than or equal to default power threshold, the startup recognition of face pattern is performed
Step；When the vibration frequency is less than the default power threshold, the step of the recognition of face pattern is not started described in execution
Suddenly.
Wherein it is possible to detect the current electric quantity of mobile terminal, above-mentioned default power threshold can voluntarily be set by user or
Person's system default, when electricity is relatively low, starts camera and carry out recognition of face, it is possible to cause to shut down, it is of course also possible to
Family needs to reserve electricity for other business, therefore, in this case, also can not then start face when using certain electricity
Recognition mode.
As can be seen that the solution lock control method described in the embodiment of the present invention, can obtain ambient parameter, environment is detected
Whether parameter meets preparatory condition, and when ambient parameter is unsatisfactory for preparatory condition, does not start recognition of face pattern, joins in environment
When number meets preparatory condition, start recognition of face pattern, it is seen then that judge whether properly to start recognition of face mould by ambient parameter
It formula, can not start recognition of face pattern under some unsuitable scenes, realize intellectuality and use face identification functions,
So as to it reduce the power consumption of mobile terminal.
Consistent with the abovely, referring to Fig. 2, being a kind of embodiment stream for solving lock control method provided in an embodiment of the present invention
Journey schematic diagram.Solution lock control method described in the present embodiment, it may include following steps：
201st, ambient parameter is obtained.
202nd, detect whether the ambient parameter meets preparatory condition.
203rd, when the ambient parameter meets the preparatory condition, the recognition of face pattern is started.
Wherein, the specific descriptions of above-mentioned steps 201- steps 203 can refer to pair of the solution lock control method described by Fig. 1 D
Step is answered, will not be repeated here.
204th, acquisition parameters corresponding with the ambient parameter are obtained, and are shot according to the acquisition parameters, are obtained
Facial image.
Wherein, the corresponding relation between acquisition parameters and ambient parameter can be prestored in mobile terminal, and then, according to
The corresponding relation determines acquisition parameters corresponding with ambient parameter, and above-mentioned acquisition parameters can include but are not limited to：During exposure
Length, aperture size, exposal model, sensitivity ISO, white balance parameter etc..
205th, the facial image is matched with default face template.
Wherein, above-mentioned default face template can pre-save in memory, its can perform above-mentioned steps 201 it
Preceding typing.And then facial image can be matched with default face template, matching value therebetween is more than default knowledge
During other threshold value, unblock operation is performed, when matching value therebetween is less than or equal to default recognition threshold, prompts user's face
Recognition failures.
Alternatively, in above-mentioned steps 205, the facial image is matched with default face template, it may include as follows
Step：
51st, the facial angle of the facial image is determined；
52nd, default face template corresponding with the facial angle is determined；
53rd, definition in the facial image is met into the region of preset requirement as most clear area, and to it is described most
Clear area carries out feature point extraction, obtains fisrt feature point set；
54th, the circumference of the facial image is extracted, obtains the first profile；
55th, the first profile is matched with the second profile of the default face template, and by described first
Feature point set is matched with the default face template；
56th, in the first profile and the success of the second outline of the default face template and the fisrt feature point
Collection with the default face template the match is successful when, confirm the match is successful；In the first profile and the default face template
The failure of the second outline, or, the fisrt feature point set and the default face template confirm matching when it fails to match
Failure.
Wherein, in the embodiment of the present invention, multiple face templates, each face template pair can be prestored in mobile terminal
An angle or angular range are answered, i.e., different face templates is corresponded to using different facial angles, after all, if people, just
Face, side face, obtained characteristic point and other be characterized in it is different, based on this, in the application, first determine facial image people
Face angle, and default face template corresponding with the facial angle is chosen, also, most clear area is chosen from facial image,
If most clear area, the feature of collection is complete, therefore, is advantageous to lift recognition of face efficiency, on the other hand, due to most clear
Region is subregion, it is understood that there may be and contingency matches, or, identification region is less, therefore carries out profile to facial image and carry
Take, obtain the first profile, in the matching process, the characteristic point of most clear area is matched with default face template, meanwhile,
Also when the first profile is matched with default face template, and need the both of which to match, just confirm that the match is successful, if both it
Any one of it fails to match, then it fails to match, in this way, while success rate is ensured, also ensure that matching speed and peace
Quan Xing.
Alternatively, above-mentioned definition can also be defined with feature point number, and after all, image is more clear, then it is included
Characteristic point is more, then, above-mentioned preset requirement is then：Feature point number is more than predetermined number threshold value, above-mentioned predetermined number threshold value
Can voluntarily it be set by user or system default, then above-mentioned steps 53 can be implemented as follows：Determine the face area
The region that feature point number is more than predetermined number threshold value in domain is the most clear area.
Alternatively, above-mentioned definition can be calculated with specific formula, be described in the related art, no longer superfluous herein
State, then, above-mentioned preset requirement is then：Definition values are more than default clarity threshold, and above-mentioned default clarity threshold can be by
User voluntarily sets or system default, then above-mentioned steps 53 can be implemented as follows：Determine clear in the human face region
The region that clear angle value is more than default clarity threshold is the most clear area.
In addition, features described above extraction can use following algorithm to realize：Harris Corner Detection Algorithms, scale invariant feature become
(Scale Invariant Feature Transform, SIFT), SUSAN Corner Detection Algorithms etc. are changed, it is no longer superfluous herein
State.Contours extract in above-mentioned steps 54 can be following algorithm：Hough transformation, haar or canny etc..
Alternatively, between above-mentioned steps 204 and step 205, can also comprise the following steps：
Image enhancement processing is carried out to the facial image, and by the facial image after image enhancement processing and in advance
If face template is matched.
Wherein, image enhancement processing may include but be not limited only to：Image denoising (is gone for example, wavelet transformation carries out image
Make an uproar), image restoration (for example, Wiener filtering), noctovision enhancing algorithm (for example, histogram equalization, gray scale stretching etc.),
After carrying out image enhancement processing to facial image, the quality of facial image can get a promotion to a certain extent.
Alternatively, between above-mentioned steps 204 and step 205, can also comprise the following steps：
B1, image quality evaluation is carried out to the facial image, obtain image quality evaluation values；
B2 is carried out at image enhaucament when described image quality evaluation value is less than predetermined quality threshold to the facial image
Reason.
Wherein, above-mentioned predetermined quality threshold can voluntarily be set or system default by user, and first facial image can be carried out
Image quality evaluation, an image quality evaluation values are obtained, the quality of the facial image is judged by the image quality evaluation values
It is good or bad, when image quality evaluation values are more than or equal to predetermined quality threshold, it is believed that quality of human face image is good, is scheming
When being less than predetermined quality threshold as quality evaluation value, it is believed that quality of human face image is poor, and then, image can be carried out to facial image
Enhancing is handled.
Wherein, in above-mentioned steps B1, at least one image quality evaluation index can be used to carry out image matter to facial image
Amount evaluation, so as to obtain image quality evaluation values.
In specific matching, when evaluating facial image, multiple images quality evaluation index, each image matter can be included
Measure evaluation index and also correspond to a weight, in this way, when each image quality evaluation index carries out image quality evaluation to image,
An evaluation result is can obtain, finally, is weighted, also just obtains final image quality evaluation values.Picture quality is commented
Valency index may include but be not limited only to：Average, standard deviation, entropy, definition, signal to noise ratio etc..
It should be noted that due to when use single evaluation index is evaluated picture quality, there is certain limitation
Property, therefore, picture quality can be evaluated using multiple images quality evaluation index, certainly, picture quality is evaluated
When, not image quality evaluation index is The more the better, because image quality evaluation index is more, the meter of image quality assessment process
It is higher to calculate complexity, it is better also to may not be certain image quality evaluation effect, therefore, higher situation is being required to image quality evaluation
Under, picture quality can be evaluated using 2~10 image quality evaluation indexs.Specifically, image quality evaluation is chosen to refer to
Target number and which index, according to depending on specific implementation situation.Certainly, specifically scene selection picture quality must be also combined to comment
Valency index, carry out carrying out the image quality index of image quality evaluation selection under dark situation under image quality evaluation and bright ring border
Can be different.
Alternatively, in the case of not high to image quality evaluation required precision, an image quality evaluation index can be used
Evaluated, for example, carrying out image quality evaluation values to pending image with entropy, it is believed that entropy is bigger, then illustrates picture quality
It is better, on the contrary, entropy is smaller, then illustrate that picture quality is poorer.
Alternatively, in the case of higher to image quality evaluation required precision, multiple images quality evaluation can be used
Index is evaluated image, and when multiple images quality evaluation index carries out image quality evaluation to image, it is more that this can be set
The weight of each image quality evaluation index in individual image quality evaluation index, can obtain multiple images quality evaluation value, according to
The plurality of image quality evaluation values and its corresponding weight can obtain final image quality evaluation values, for example, three image matter
Measuring evaluation index is respectively：A indexs, B indexs and C indexs, A weight is a1, and B weight is a2, and C weight is a3, is used
A, when B and C carries out image quality evaluation to a certain image, image quality evaluation values corresponding to A are b1, picture quality corresponding to B
Evaluation of estimate is b2, and image quality evaluation values corresponding to C are b3, then, last image quality evaluation values=a1b1+a2b2+
a3b3.Under normal circumstances, image quality evaluation values are bigger, illustrate that picture quality is better.
206th, when the match is successful for the facial image and the default face template, unblock operation is performed.
Wherein, above-mentioned facial image and default face template perform unblock operation when the match is successful.Facial image is with presetting
Face template can then prompt user's recognition of face to fail when it fails to match.
Alternatively, above-mentioned execution unblock operation, can be following at least one situation：For example, mobile terminal, which is in, puts out screen
Under state, unblock operation can light screen, and enter the homepage of mobile terminal, or specified page；At mobile terminal
Under bright screen state, unblock operation can be, into the homepage of mobile terminal, or specified page；Mobile terminal is a certain should
The unblock page, unblock operation can unblock be completed, into the page after unblock, for example, mobile terminal may be at propping up
The page is paid, unblock operation can be paid.Above-mentioned specified page can be following at least one：The page of some application,
Or the page that user voluntarily specifies.
As can be seen that the solution lock control method described in the embodiment of the present invention, can obtain ambient parameter, environment is detected
Whether parameter meets preparatory condition, and when ambient parameter is unsatisfactory for preparatory condition, does not start recognition of face pattern, joins in environment
When number meets preparatory condition, start recognition of face pattern, obtain acquisition parameters corresponding with ambient parameter, and according to acquisition parameters
Shot, obtain facial image, facial image is matched with default face template, in facial image and default face mould
Plate performs unblock operation when the match is successful, it is seen then that judges whether properly to start recognition of face pattern by ambient parameter, can be with
Under some unsuitable scenes, do not start recognition of face pattern, and after recognition of face pattern is started, can obtain with
The adaptable acquisition parameters of environment, and shot, picture quality is improved, and recognition of face success rate is improved, realize
It is intelligent to use face identification functions, so as to reduce the power consumption of mobile terminal.
Referring to Fig. 3, Fig. 3 is a kind of mobile terminal provided in an embodiment of the present invention, including：Application processor AP and storage
Device；And one or more programs, one or more of programs are stored in the memory, and it is configured to by institute
AP execution is stated, described program includes being used for the instruction for performing following steps：
Obtain ambient parameter；
Detect whether the ambient parameter meets preparatory condition；
When the ambient parameter is unsatisfactory for the preparatory condition, recognition of face pattern is not started；
When the ambient parameter meets the preparatory condition, start the recognition of face pattern.
In a possible example, described program also includes being used for the instruction for performing following steps：
Obtain the vibration frequency of mobile terminal；
It is described when the ambient parameter meets the preparatory condition after, described program also include be used for perform following step
Rapid instruction：
When the vibration frequency is less than default vibration frequency, described the step of starting the recognition of face pattern is performed；
When the vibration frequency is more than or equal to default vibration frequency, the recognition of face pattern is not started described in execution
The step of；
In a possible example, described program also includes being used for the instruction for performing following steps：
Determine the distance between face and mobile terminal；
It is described when the ambient parameter meets the preparatory condition after, described program also include be used for perform following step
Rapid instruction：
When the distance is less than pre-determined distance threshold value, perform described in the step of not starting recognition of face pattern.
When the distance is more than or equal to the pre-determined distance threshold value, the startup recognition of face pattern is performed
Step.
In a possible example, after the ambient parameter meets the preparatory condition, described program also includes
For performing the instruction of following steps：
Obtain the current electric quantity of mobile terminal；
It is described when the ambient parameter meets the preparatory condition after, described program also include be used for perform following step
Rapid instruction：
When the vibration frequency is more than or equal to default power threshold, the startup recognition of face pattern is performed
Step；
When the vibration frequency is less than the default power threshold, the recognition of face pattern is not started described in execution
Step；
In a possible example, after the startup recognition of face pattern, described program also includes being used for
Perform the instruction of following steps：
Acquisition parameters corresponding with the ambient parameter are obtained, and are shot according to the acquisition parameters, obtain face
Image；
The facial image is matched with default face template；
When the match is successful for the facial image and the default face template, unblock operation is performed.
Fig. 4 A are referred to, Fig. 4 A are a kind of structural representations for solution lock control device that the present embodiment provides.The solution lock control
Device processed is applied to mobile terminal, and solution lock control device includes first acquisition unit 401, detection unit 402 and execution unit
403, wherein,
First acquisition unit 401, for obtaining ambient parameter；
Detection unit 402, for detecting whether the ambient parameter meets preparatory condition；
Execution unit 403, for when the ambient parameter is unsatisfactory for the preparatory condition, not starting recognition of face mould
Formula；And when the ambient parameter meets the preparatory condition, start the recognition of face pattern.
Alternatively, such as Fig. 4 B, the modification structures of solution lock control devices of Fig. 4 B described by Fig. 4 A, it is compared with Fig. 4 A
Compared with may also include：Second acquisition unit 404, it is specific as follows：
Second acquisition unit 404, obtain the vibration frequency of mobile terminal；
After when the ambient parameter meets the preparatory condition, the execution unit 403 is specifically used for：Shaken described
When dynamic frequency is less than default vibration frequency, described the step of starting the recognition of face pattern is performed；It is big in the vibration frequency
When the default vibration frequency, perform described in the step of not starting the recognition of face pattern.
Alternatively, after the ambient parameter meets the preparatory condition, such as Fig. 4 C, Fig. 4 C are the solution described by Fig. 4 A
The modification structures of lock control device, it may also include compared with Fig. 4 A：Determining unit 405, it is specific as follows：
The determining unit 405, for determining the distance between face and mobile terminal；
The execution unit 403 is specifically used for：
When the distance is less than pre-determined distance threshold value, perform described in the step of not starting recognition of face pattern.
When the distance is more than or equal to the pre-determined distance threshold value, the startup recognition of face pattern is performed
Step.
Alternatively, such as Fig. 4 D, the modification structures of solution lock control devices of Fig. 4 D described by Fig. 4 A, it is compared with Fig. 4 A
Compared with may also include：3rd acquiring unit 406, it is specific as follows：
3rd acquiring unit 406, for obtaining the current electric quantity of mobile terminal；
After when the ambient parameter meets the preparatory condition, the execution unit 403 is specifically used for：
When the current electric quantity is more than or equal to default power threshold, the startup recognition of face pattern is performed
Step；When the current electric quantity is less than the default power threshold, the step of the recognition of face pattern is not started described in execution
Suddenly.
Alternatively, such as Fig. 4 E, the modification structures of solution lock control devices of Fig. 4 E described by Fig. 4 A, it is compared with Fig. 4 A
Compared with may also include：4th acquiring unit 407, matching unit 408 and unlocking unit 409, it is specific as follows：
4th acquiring unit 407, join for obtaining acquisition parameters corresponding with the ambient parameter, and according to the shooting
Number is shot, and obtains facial image；
Matching unit 408, for the facial image to be matched with default face template；
Unlocking unit 409, for when the match is successful for the facial image and the default face template, performing unblock behaviour
Make.
As can be seen that the solution lock control device described in the embodiment of the present invention, can obtain ambient parameter, environment is detected
Whether parameter meets preparatory condition, and when ambient parameter is unsatisfactory for preparatory condition, does not start recognition of face pattern, joins in environment
When number meets preparatory condition, start recognition of face pattern, it is seen then that judge whether properly to start recognition of face mould by ambient parameter
It formula, can not start recognition of face pattern under some unsuitable scenes, realize intellectuality and use face identification functions,
So as to it reduce the power consumption of mobile terminal.
It is understood that the function of each program module of the solution lock control device of the present embodiment can be real according to the above method
The method specific implementation in example is applied, its specific implementation process is referred to the associated description of above method embodiment, herein no longer
Repeat.
The embodiment of the present invention additionally provides another mobile terminal, as shown in figure 5, for convenience of description, illustrate only with
The related part of the embodiment of the present invention, particular technique details do not disclose, refer to present invention method part.The movement
Terminal can be to include mobile phone, tablet personal computer, PDA (Personal Digital Assistant, personal digital assistant), POS
Any terminal device such as (Point of Sales, point-of-sale terminal), vehicle-mounted computer, so that mobile terminal is mobile phone as an example：
Fig. 5 is illustrated that the block diagram of the part-structure of the mobile phone related to mobile terminal provided in an embodiment of the present invention.Ginseng
Fig. 5 is examined, mobile phone includes：Radio frequency (Radio Frequency, RF) circuit 910, memory 920, input block 930, sensor
950th, voicefrequency circuit 960, Wireless Fidelity (Wireless Fidelity, WiFi) module 970, application processor AP980 and
The grade part of power supply 990.It will be understood by those skilled in the art that the handset structure shown in Fig. 5 does not form the restriction to mobile phone,
It can include than illustrating more or less parts, either combine some parts or different parts arrangement.
Each component parts of mobile phone is specifically introduced with reference to Fig. 5：
Input block 930 can be used for the numeral or character information for receiving input, and produce with the user of mobile phone set with
And the key signals input that function control is relevant.Specifically, input block 930 may include touching display screen 933, face identification device
931 and other input equipments 932.The concrete structure of face identification device 931 composition can refer to foregoing description, not go to live in the household of one's in-laws on getting married excessively herein
State.Input block 930 can also include other input equipments 932.Specifically, other input equipments 932 can include but unlimited
One kind in physical button, function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc. or
It is a variety of.
Wherein, the AP980, for performing following steps：
Obtain ambient parameter；
Detect whether the ambient parameter meets preparatory condition；
When the ambient parameter is unsatisfactory for the preparatory condition, recognition of face pattern is not started；
When the ambient parameter meets the preparatory condition, start the recognition of face pattern.
AP980 is the control centre of mobile phone, using various interfaces and the various pieces of connection whole mobile phone, passes through fortune
Row performs the software program and/or module being stored in memory 920, and calls the data being stored in memory 920,
The various functions and processing data of mobile phone are performed, so as to carry out integral monitoring to mobile phone.Optionally, AP980 may include one or
Multiple processing units, the processing unit can be artificial intelligent chip, quantum chip；Preferably, AP980 can integrate application processor
And modem processor, wherein, application processor mainly handles operating system, user interface and application program etc., modulatedemodulate
Processor is adjusted mainly to handle radio communication.It is understood that above-mentioned modem processor can not also be integrated into AP980
In.
In addition, memory 920 can include high-speed random access memory, nonvolatile memory, example can also be included
Such as at least one disk memory, flush memory device or other volatile solid-state parts.
RF circuits 910 can be used for the reception and transmission of information.Generally, RF circuits 910 include but is not limited to antenna, at least one
Individual amplifier, transceiver, coupler, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..In addition,
RF circuits 910 can also be communicated by radio communication with network and other equipment.Above-mentioned radio communication can use any communication
Standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile
Communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code division it is more
Location (Code Division Multiple Access, CDMA), WCDMA (Wideband Code Division
Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution, LTE), Email, Short Message Service
(Short Messaging Service, SMS) etc..
Mobile phone may also include at least one sensor 950, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to ambient light
Light and shade adjust the brightness of touching display screen, proximity transducer can when mobile phone is moved in one's ear, close touching display screen and/
Or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (generally three axles) acceleration
Size, size and the direction of gravity are can detect that when static, available for identification mobile phone posture application (such as horizontal/vertical screen switching,
Dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；It can also configure as mobile phone
Gyroscope, barometer, hygrometer, thermometer, the other sensors such as infrared ray sensor, will not be repeated here.
Voicefrequency circuit 960, loudspeaker 961, microphone 962 can provide the COBBAIF between user and mobile phone.Audio-frequency electric
Electric signal after the voice data received conversion can be transferred to loudspeaker 961, sound is converted to by loudspeaker 961 by road 960
Signal plays；On the other hand, the voice signal of collection is converted to electric signal by microphone 962, is turned after being received by voicefrequency circuit 960
It is changed to voice data, then after voice data is played into AP980 processing, through RF circuits 910 to be sent to such as another mobile phone, or
Voice data is played to memory 920 further to handle.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronicses postal by WiFi module 970
Part, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.Although Fig. 5 is shown
WiFi module 970, but it is understood that, it is simultaneously not belonging to must be configured into for mobile phone, can not change as needed completely
Become in the essential scope of invention and omit.
Mobile phone also includes the power supply 990 (such as battery) to all parts power supply, it is preferred that power supply can pass through power supply pipe
Reason system and AP980 are logically contiguous, so as to realize the work(such as management charging, electric discharge and power managed by power-supply management system
Energy.
Although being not shown, mobile phone can also include camera, bluetooth module etc., will not be repeated here.
In embodiment shown in earlier figures 1D or Fig. 2, each step method flow can based on the mobile phone structure realize.
In embodiment shown in earlier figures 3, Fig. 4 A~Fig. 4 E, each unit function can based on the mobile phone structure realize.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium is stored for electricity
The computer program that subdata exchanges, it is any as described in above-mentioned embodiment of the method that the computer program make it that computer performs
A kind of part or all of step for solving lock control method.
The embodiment of the present invention also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer-readable recording medium of machine program, the computer program are operable to make computer perform side as described above
The part or all of step of any solution lock control method described in method embodiment.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, can be by another way
Realize.For example, device embodiment described above is only schematical, such as the division of the unit, it is only one kind
Division of logic function, can there is an other dividing mode when actually realizing, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.Another, shown or discussed is mutual
Coupling direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and is used as independent production marketing or use
When, it can be stored in a computer-readable access to memory.Based on such understanding, technical scheme substantially or
Person say the part to be contributed to prior art or the technical scheme all or part can in the form of software product body
Reveal and, the computer software product is stored in a memory, including some instructions are causing a computer equipment
(can be personal computer, server or network equipment etc.) performs all or part of each embodiment methods described of the present invention
Step.And foregoing memory includes：USB flash disk, read-only storage (ROM, Read-Only Memory), random access memory
(RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with the medium of store program codes.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
To instruct the hardware of correlation to complete by program, the program can be stored in a computer-readable memory, memory
It can include：Flash disk, read-only storage (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：RAM), disk or CD etc..
The embodiment of the present invention is described in detail above, specific case used herein to the principle of the present invention and
Embodiment is set forth, and the explanation of above example is only intended to help the method and its core concept for understanding the present invention；
Meanwhile for those of ordinary skill in the art, according to the thought of the present invention, can in specific embodiments and applications
There is change part, in summary, this specification content should not be construed as limiting the invention.
Claims (14)
- A kind of 1. mobile terminal, it is characterised in that including：Application processor AP, and the environmental sensor being connected with the AP And face identification device, wherein,The environmental sensor, for obtaining ambient parameter；The AP, for detecting whether the ambient parameter meets preparatory condition；It is unsatisfactory in the ambient parameter described default During condition, the face identification device is controlled not start recognition of face pattern；And meet in the ambient parameter described default During condition, the face identification device is controlled to start the recognition of face pattern.
- 2. mobile terminal according to claim 1, it is characterised in that the mobile terminal also includes：Vibrating sensor, for obtaining the vibration frequency of the mobile terminal；After the ambient parameter meets in terms of the preparatory condition, the AP also particularly useful for：When the vibration frequency is less than default vibration frequency, described the step of starting the recognition of face pattern is performed；When the vibration frequency is more than or equal to the default vibration frequency, the recognition of face pattern is not started described in execution The step of.
- 3. mobile terminal according to claim 1, it is characterised in that the mobile terminal also includes：Range sensor, for determining the distance between face and the mobile terminal；After the ambient parameter meets in terms of the preparatory condition, the AP also particularly useful for：When the distance is less than pre-determined distance threshold value, perform described in the step of not starting recognition of face pattern.When the distance is more than or equal to the pre-determined distance threshold value, the step for starting the recognition of face pattern is performed Suddenly.
- 4. mobile terminal according to claim 1, it is characterised in that the AP also particularly useful for：Obtain the current electric quantity of the mobile terminal；After the ambient parameter meets in terms of the preparatory condition, the AP also particularly useful for：When the current electric quantity is more than or equal to default power threshold, the step for starting the recognition of face pattern is performed Suddenly；When the current electric quantity is less than the default power threshold, the step of the recognition of face pattern is not started described in execution Suddenly.
- 5. according to the mobile terminal described in any one of Claims 1-4, it is characterised in that start the recognition of face described After in terms of pattern, the AP also particularly useful for：Obtain acquisition parameters corresponding with the ambient parameter；The face identification device, for being shot according to the acquisition parameters, obtain facial image；The AP also particularly useful for：The facial image is matched with default face template；And in the facial image and the default face template When the match is successful, unblock operation is performed.
- 6. one kind solution lock control method, it is characterised in that applied to including application processor AP, and the ring being connected with the AP The mobile terminal of border sensor and face identification device, wherein, methods described includes：The environmental sensor obtains ambient parameter；The AP detects whether the ambient parameter meets preparatory condition；The preparatory condition is unsatisfactory in the ambient parameter When, control the face identification device not start recognition of face pattern；And meet the preparatory condition in the ambient parameter When, control the face identification device to start the recognition of face pattern.
- 7. one kind solution lock control method, it is characterised in that including：Obtain ambient parameter；Detect whether the ambient parameter meets preparatory condition；When the ambient parameter is unsatisfactory for the preparatory condition, recognition of face pattern is not started；When the ambient parameter meets the preparatory condition, start the recognition of face pattern.
- 8. according to the method for claim 7, it is characterised in that methods described also includes；Obtain the vibration frequency of mobile terminal；It is described when the ambient parameter meets the preparatory condition after, methods described also includes：When the vibration frequency is less than default vibration frequency, described the step of starting the recognition of face pattern is performed；When the vibration frequency is more than or equal to the default vibration frequency, the recognition of face pattern is not started described in execution The step of.
- 9. according to the method for claim 7, it is characterised in that methods described also includes：Determine the distance between face and mobile terminal；It is described when the ambient parameter meets the preparatory condition after, methods described also includes：When the distance is less than pre-determined distance threshold value, perform described in the step of not starting recognition of face pattern.When the distance is more than or equal to the pre-determined distance threshold value, the step for starting the recognition of face pattern is performed Suddenly.
- 10. according to the method for claim 7, it is characterised in that methods described also includes：Obtain the current electric quantity of mobile terminal；It is described when the ambient parameter meets the preparatory condition after, methods described also includes：When the current electric quantity is more than or equal to default power threshold, the step for starting the recognition of face pattern is performed Suddenly；When the current electric quantity is less than the default power threshold, the step of the recognition of face pattern is not started described in execution Suddenly.
- 11. according to the method described in any one of claim 7 to 10, it is characterised in that start the recognition of face mould described After formula, methods described also includes：Acquisition parameters corresponding with the ambient parameter are obtained, and are shot according to the acquisition parameters, obtain facial image；The facial image is matched with default face template；When the match is successful for the facial image and the default face template, unblock operation is performed.
- 12. one kind solution lock control device, it is characterised in that including：First acquisition unit, for obtaining ambient parameter；Detection unit, for detecting whether the ambient parameter meets preparatory condition；Execution unit, for when the ambient parameter is unsatisfactory for the preparatory condition, not starting recognition of face pattern；And When the ambient parameter meets the preparatory condition, start the recognition of face pattern.
- A kind of 13. mobile terminal, it is characterised in that including：Application processor AP and memory；And one or more programs, One or more of programs are stored in the memory, and are configured to be performed by the AP, and described program includes Instruction for such as any one of claim 7-11 methods.
- A kind of 14. computer-readable recording medium, it is characterised in that it is used to store computer program, wherein, the computer Program causes computer to perform the method as described in claim any one of 7-11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710891744.0A CN107613550B (en) | 2017-09-27 | 2017-09-27 | Unlocking control method and related product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710891744.0A CN107613550B (en) | 2017-09-27 | 2017-09-27 | Unlocking control method and related product |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107613550A true CN107613550A (en) | 2018-01-19 |
| CN107613550B CN107613550B (en) | 2020-12-29 |
Family
ID=61058872
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710891744.0A Active CN107613550B (en) | 2017-09-27 | 2017-09-27 | Unlocking control method and related product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107613550B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108319837A (en) * | 2018-02-13 | 2018-07-24 | 广东欧珀移动通信有限公司 | Electronic equipment, face template input method and Related product |
| CN108446665A (en) * | 2018-03-30 | 2018-08-24 | 维沃移动通信有限公司 | A kind of face identification method and mobile terminal |
| CN108810276A (en) * | 2018-06-08 | 2018-11-13 | 维沃移动通信（深圳）有限公司 | A kind of method and mobile terminal of face recognition |
| CN109816628A (en) * | 2018-12-20 | 2019-05-28 | 深圳云天励飞技术有限公司 | Face evaluation method and Related product |
| CN110334496A (en) * | 2019-06-27 | 2019-10-15 | Oppo广东移动通信有限公司 | A kind of solution lock control method, terminal and computer readable storage medium |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130263227A1 (en) * | 2011-04-18 | 2013-10-03 | Telmate, Llc | Secure communication systems and methods |
| US20130287256A1 (en) * | 2012-04-30 | 2013-10-31 | Telibrahma Convergent Communications Private Limited | Method and system for real time image recognition on a mobile device |
| CN103761463A (en) * | 2014-01-13 | 2014-04-30 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN103814380A (en) * | 2011-08-02 | 2014-05-21 | 高通股份有限公司 | Method and apparatus for using a multi-factor password or a dynamic password for enhanced security on a device |
| CN104616438A (en) * | 2015-03-02 | 2015-05-13 | 重庆市科学技术研究院 | Yawning action detection method for detecting fatigue driving |
| CN104809375A (en) * | 2015-04-15 | 2015-07-29 | 广东欧珀移动通信有限公司 | Mobile terminal unlocking method and device |
| CN104978582A (en) * | 2015-05-15 | 2015-10-14 | 苏州大学 | Contour chord angle feature based identification method for blocked target |
| CN105335691A (en) * | 2014-08-14 | 2016-02-17 | 南京普爱射线影像设备有限公司 | Smiling face identification and encouragement system |
| US9342752B1 (en) * | 2010-03-11 | 2016-05-17 | Sprint Communications Company L.P. | Adjusting an image for video conference display |
| CN105653922A (en) * | 2015-12-30 | 2016-06-08 | 联想(北京)有限公司 | Bio-feature verification method and electronic device |
| CN105740763A (en) * | 2016-01-21 | 2016-07-06 | 珠海格力电器股份有限公司 | Identity recognition method and device |
| CN106200878A (en) * | 2016-07-19 | 2016-12-07 | 深圳市万普拉斯科技有限公司 | Fingerprint control method, device and mobile terminal |
| CN106326867A (en) * | 2016-08-26 | 2017-01-11 | 维沃移动通信有限公司 | Face recognition method and mobile terminal |
| CN106991377A (en) * | 2017-03-09 | 2017-07-28 | 广东欧珀移动通信有限公司 | With reference to the face identification method, face identification device and electronic installation of depth information |
| CN107122644A (en) * | 2017-04-12 | 2017-09-01 | 广东欧珀移动通信有限公司 | The switching method and mobile terminal of biometrics password recognition mode |
| CN107465809A (en) * | 2017-07-03 | 2017-12-12 | 广东欧珀移动通信有限公司 | Verification method and terminal |
-
2017
- 2017-09-27 CN CN201710891744.0A patent/CN107613550B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9342752B1 (en) * | 2010-03-11 | 2016-05-17 | Sprint Communications Company L.P. | Adjusting an image for video conference display |
| US20130263227A1 (en) * | 2011-04-18 | 2013-10-03 | Telmate, Llc | Secure communication systems and methods |
| CN103814380A (en) * | 2011-08-02 | 2014-05-21 | 高通股份有限公司 | Method and apparatus for using a multi-factor password or a dynamic password for enhanced security on a device |
| US20130287256A1 (en) * | 2012-04-30 | 2013-10-31 | Telibrahma Convergent Communications Private Limited | Method and system for real time image recognition on a mobile device |
| CN103761463A (en) * | 2014-01-13 | 2014-04-30 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN105335691A (en) * | 2014-08-14 | 2016-02-17 | 南京普爱射线影像设备有限公司 | Smiling face identification and encouragement system |
| CN104616438A (en) * | 2015-03-02 | 2015-05-13 | 重庆市科学技术研究院 | Yawning action detection method for detecting fatigue driving |
| CN104809375A (en) * | 2015-04-15 | 2015-07-29 | 广东欧珀移动通信有限公司 | Mobile terminal unlocking method and device |
| CN104978582A (en) * | 2015-05-15 | 2015-10-14 | 苏州大学 | Contour chord angle feature based identification method for blocked target |
| CN105653922A (en) * | 2015-12-30 | 2016-06-08 | 联想(北京)有限公司 | Bio-feature verification method and electronic device |
| CN105740763A (en) * | 2016-01-21 | 2016-07-06 | 珠海格力电器股份有限公司 | Identity recognition method and device |
| CN106200878A (en) * | 2016-07-19 | 2016-12-07 | 深圳市万普拉斯科技有限公司 | Fingerprint control method, device and mobile terminal |
| CN106326867A (en) * | 2016-08-26 | 2017-01-11 | 维沃移动通信有限公司 | Face recognition method and mobile terminal |
| CN106991377A (en) * | 2017-03-09 | 2017-07-28 | 广东欧珀移动通信有限公司 | With reference to the face identification method, face identification device and electronic installation of depth information |
| CN107122644A (en) * | 2017-04-12 | 2017-09-01 | 广东欧珀移动通信有限公司 | The switching method and mobile terminal of biometrics password recognition mode |
| CN107465809A (en) * | 2017-07-03 | 2017-12-12 | 广东欧珀移动通信有限公司 | Verification method and terminal |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108319837A (en) * | 2018-02-13 | 2018-07-24 | 广东欧珀移动通信有限公司 | Electronic equipment, face template input method and Related product |
| CN108446665A (en) * | 2018-03-30 | 2018-08-24 | 维沃移动通信有限公司 | A kind of face identification method and mobile terminal |
| CN108446665B (en) * | 2018-03-30 | 2020-04-17 | 维沃移动通信有限公司 | Face recognition method and mobile terminal |
| CN108810276A (en) * | 2018-06-08 | 2018-11-13 | 维沃移动通信（深圳）有限公司 | A kind of method and mobile terminal of face recognition |
| CN109816628A (en) * | 2018-12-20 | 2019-05-28 | 深圳云天励飞技术有限公司 | Face evaluation method and Related product |
| CN110334496A (en) * | 2019-06-27 | 2019-10-15 | Oppo广东移动通信有限公司 | A kind of solution lock control method, terminal and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107613550B (en) | 2020-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107679482A (en) | Solve lock control method and Related product | |
| CN107590461B (en) | Face recognition method and related product | |
| CN107832675A (en) | Processing method of taking pictures and Related product | |
| CN107423699B (en) | Biopsy method and Related product | |
| CN107657218B (en) | Face recognition method and related product | |
| CN107480496A (en) | Solve lock control method and Related product | |
| CN107613550A (en) | Solve lock control method and Related product | |
| CN107862265A (en) | Image processing method and related product | |
| CN109241908A (en) | Face identification method and relevant apparatus | |
| CN106558025A (en) | A kind for the treatment of method and apparatus of picture | |
| CN107292285A (en) | Living iris detection method and Related product | |
| CN107609514A (en) | Face identification method and Related product | |
| CN109117725A (en) | Face identification method and device | |
| CN107463818A (en) | Solve lock control method and Related product | |
| CN107679481A (en) | Solve lock control method and Related product | |
| CN107506687A (en) | Biopsy method and Related product | |
| CN107169939A (en) | Image processing method and related product | |
| CN107784271B (en) | Fingerprint identification method and related product | |
| CN107633499A (en) | Image processing method and related product | |
| CN107403147A (en) | Living iris detection method and Related product | |
| CN107451446A (en) | Solve lock control method and Related product | |
| CN107480488A (en) | Solve lock control method and Related product | |
| CN107451444B (en) | Solve lock control method and Related product | |
| CN107451455A (en) | Solve lock control method and Related product | |
| CN107734129A (en) | Solve lock control method and Related product |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |