CN107609514A - Face identification method and Related product - Google Patents
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Abstract
The embodiment of the invention discloses a kind of face identification method and Related product, wherein, method includes：Ambient light is obtained, face is shot according to the ambient light, obtains the first facial image；If the color colour cast of first facial image adjusts the display parameters of screen, obtains target display parameters in designated color；The screen is lighted according to the target display parameters, to carry out light filling to the face, and is shot, obtains the second facial image.The embodiment of the present invention can be when being shot using ambient light to facial image, if there is colour cast phenomenon, the display parameters of screen can be adjusted, and then, light filling is carried out to face by screen auxiliary, the facial image after shooting can have colour cast as few as possible, improve the quality of facial image, and then improve face unblock efficiency.
Description
Technical field
The present invention relates to technical field of mobile terminals, and in particular to a kind of face identification 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, face unblock is increasingly favored by mobile terminal generation business, because face unblock need not be used
Family touches mobile terminal, can be to realize man face image acquiring, and therefore, man face image acquiring is very convenient, facial image
The key as face unblock is gathered, the quality of facial image directly determines the success or failure of face unblock, therefore, how to lift people
The problem of collecting efficiency of face image, is urgently to be resolved hurrily.
The content of the invention
The embodiments of the invention provide a kind of face identification method and Related product, face in the case of eye is narrowed to improve
Recognition efficiency.
In a first aspect, the embodiment of the present invention provides a kind of mobile terminal, including application processor (Application
Processor, AP), and the face identification device being connected with the AP, wherein,
The face identification device, face is shot for obtaining ambient light, and according to the ambient light, obtain
One facial image；
The AP, if the color colour cast for first facial image in designated color, adjusts the display parameters of screen,
Obtain target display parameters；And the screen is lighted according to the target display parameters, to carry out light filling to the face；
The face identification device, for being shot, obtain the second facial image.
Second aspect, the embodiments of the invention provide a kind of face identification method, applied to including application processor AP, with
And the mobile terminal with the AP face identification devices being connected, methods described include：
The face identification device obtains ambient light, and face is shot according to the ambient light, obtains the first
Face image；
The AP adjusts the display parameters of screen, obtained when the color colour cast of first facial image is in designated color
To target display parameters；And the screen is lighted according to the target display parameters, to carry out light filling to the face；
The face identification device is shot, and obtains the second facial image.
The third aspect, the embodiments of the invention provide a kind of face identification method, including：
Ambient light is obtained, face is shot according to the ambient light, obtains the first facial image；
If the color colour cast of first facial image adjusts the display parameters of screen, obtains target and show in designated color
Show parameter；
The screen is lighted according to the target display parameters, to carry out light filling to the face, and is shot, obtained
Second facial image.
Fourth aspect, the embodiments of the invention provide a kind of face identification device, including：
First shooting unit, for obtaining ambient light, face is shot according to the ambient light, obtains the first face
Image；
Adjustment unit, if the color colour cast for first facial image is joined in designated color, the display for adjusting screen
Number, obtains target display parameters；
Second shooting unit, for lighting the screen according to the target display parameters, to be mended to the face
Light, and shot, obtain the second facial image.
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 the face identification method described in the embodiment of the present invention, can obtain ambient light, according to ambient light pair
Face is shot, and obtains the first facial image, if the color colour cast of the first facial image adjusts the aobvious of screen in designated color
Show parameter, obtain target display parameters, screen is lighted according to target display parameters, to carry out light filling to face, and shot,
The second facial image is obtained, it is thus possible to when being shot using ambient light to facial image, can if there is colour cast phenomenon
To adjust the display parameters of screen, and then, light filling is carried out to face by screen auxiliary, the facial image after shooting can use up can
There can be colour cast less, improve the quality of facial image, and then, improve face unblock efficiency.
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 schematic flow sheets of face identification method disclosed in the embodiment of the present invention；
Fig. 1 D are a kind of another schematic flow sheets of face identification method disclosed in the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of another face identification 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 of face identification device provided in an embodiment of the present invention；
Fig. 4 B are the another structural representations of the face identification device described by Fig. 4 A provided in an embodiment of the present invention；
Fig. 4 C are the structural representations of the adjustment unit of the face identification device described by Fig. 4 B provided in an embodiment of the present invention
Figure；
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 include front camera 21, and front camera can be following at least one：It is infrared
Camera, dual camera, visible image capturing are first-class, and dual camera can be following at least one：Infrared camera+light can be imaged
Head, double visible image capturings are first-class, in face recognition process, facial image can be gathered by face identification device, before above-mentioned
Zoom function can be possessed by putting camera, same target can be shot based on different focal lengths, obtained multiple images, on
It can be face to state target.
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 130, wherein, the AP110 connects face identification device by bus 150
130。
Based on the mobile terminal described by Figure 1A or Figure 1B, can be used for implementing function such as：
The face identification device 130, face is shot for obtaining ambient light, and according to the ambient light, obtained
To the first facial image；
The AP110, if the color colour cast for first facial image is joined in designated color, the display for adjusting screen
Number, obtains target display parameters；And the screen is lighted according to the target display parameters, to be mended to the face
Light；
The face identification device 130, for being shot, obtain the second facial image.
Alternatively, the AP110 also particularly useful for：
Spectrum analysis is carried out to first facial image, obtains the color component of first facial image；
The color component is compared with pre-set color composition, obtains color deviation degree；
When the color deviation degree is in preset range, confirm the color colour cast of first facial image in the finger
Determine color.
Alternatively, in terms of the display parameters of the adjustment screen, target display parameters, the AP110 is specifically used for：
The color deviation degree is determined according to the mapping relations between the display parameters of default irrelevance and the screen
The corresponding target display parameters.
Alternatively, in terms of the display parameters of the adjustment screen, the AP110 is specifically used for：
Obtain the first color spectrum figure of the ambient light；
Obtain default second color spectrum figure；
Determine the frequency spectrum disparity map between the second color spectrum figure and the first color spectrum figure；
It is determined that display parameters corresponding with the frequency spectrum disparity map are as the target display parameters.
Alternatively, it is described light the screen according to the target display parameters in terms of, the AP110 is specifically used for：
The display parameters of the N wallpapers prestored are obtained, obtain N group display parameters, the N is the integer more than 1；
Selection and the immediate one group of display parameters of the target display parameters from the N groups display parameters, and obtain
Wallpaper corresponding with immediate one group of display parameters, obtains target wallpaper；
The screen is lighted according to the target wallpaper.
Still optionally further, based on above-mentioned Figure 1A or Figure 1B described by mobile terminal, can perform as described below
A kind of face identification method, it is specific as follows：
The face identification device 130 obtains ambient light, and face is shot according to the ambient light, obtains first
Facial image；
The AP110 adjusts the display parameters of screen when the color colour cast of first facial image is in designated color,
Obtain target display parameters；And the screen is lighted according to the target display parameters, to carry out light filling to the face；
The face identification device 130 is shot, and obtains the second facial image.
As can be seen that the face identification method described in the embodiment of the present invention, can obtain ambient light, according to ambient light pair
Face is shot, and obtains the first facial image, if the color colour cast of the first facial image adjusts the aobvious of screen in designated color
Show parameter, obtain target display parameters, screen is lighted according to target display parameters, to carry out light filling to face, and shot,
The second facial image is obtained, it is thus possible to when being shot using ambient light to facial image, can if there is colour cast phenomenon
To adjust the display parameters of screen, and then, light filling is carried out to face by screen auxiliary, the facial image after shooting can use up can
There can be colour cast less, improve the quality of facial image, and then, improve face unblock efficiency.
Fig. 1 C are referred to, are a kind of embodiment schematic flow sheet of face identification method provided in an embodiment of the present invention.This
Face identification method described in embodiment, applied to the mobile end for including face identification device and application processor AP
End, its pictorial diagram and structure chart can be found in Figure 1A or Figure 1B, and it comprises the following steps：
101st, ambient light is obtained, face is shot according to the ambient light, obtains the first facial image.
Wherein, because there is different luminous objects, and different reflection lights, thus, recognition of face in environment
Device can obtain these ambient lights, and carry out light filling to face based on these ambient lights, and then, face is shot, obtained
To the first facial image.Due to the complexity of light in environment, thus, facial image can be caused to be possible to occur that colour cast shows
As.Especially under complex environment, easily cause facial image colour cast, for example, in KTV environment, noctovision environment, or, exposure
Environment.
If the 102nd, the color colour cast of first facial image adjusts the display parameters of screen, obtains mesh in designated color
Mark display parameters.
Wherein, designated color can be following one kind：Red, green or blueness etc..If the color of the first facial image
Colour cast can adjust the display parameters of screen in designated color, to be neutralized to colour cast phenomenon, and then, shot again,
Colour cast phenomenon in obtained facial image is alleviated.The color colour cast of above-mentioned first facial image can manage in designated color
Solve corresponding to human face region of the color colour cast for whole first facial image in designated color, or the first facial image
Color colour cast is in designated color.
Alternatively, the display parameters of screen can be following at least one：The colour temperature of screen, the brightness of screen, the face of screen
The resolution ratio etc. of color, screen.For example, the first facial image color colour cast in designated color, the color of screen can be adjusted
Gentle color.
Alternatively, in above-mentioned steps 102, the display parameters of screen are adjusted, it may include following steps：
21st, the first color spectrum figure of the ambient light is obtained；
22nd, default second color spectrum figure is obtained；
23rd, the frequency spectrum disparity map between the second color spectrum figure and the first color spectrum figure is determined；
24th, determine display parameters corresponding with the frequency spectrum disparity map as the target display parameters.
Wherein it is possible to obtain ambient light by face identification device, and the ambient light is analyzed, obtain the first color
Spectrogram.Above-mentioned default second color spectrum figure can be the color spectrum figure in the case of non-colour cast, and then, it may be determined that second
Frequency spectrum disparity map between color spectrum figure and the first color spectrum figure, for example, can be by the second color spectrum figure and the first face
Carry out making difference operation between color spectrogram, or, signed magnitude arithmetic(al) is carried out, obtains frequency spectrum disparity map.Can be advance in mobile terminal
The corresponding relation between spectrogram and display parameters is deposited, and then, can be according to the corresponding pass after frequency spectrum disparity map is determined
System determines display parameters corresponding with frequency spectrum disparity map, as target display parameters.
103rd, the screen is lighted according to the target display parameters, to carry out light filling to the face, and is shot,
Obtain the second facial image.
Wherein it is possible to screen is lighted according to target display parameters, and then, light filling is subject to face by screen, at this time,
Light filling is carried out to face simultaneously equivalent to screen and ambient light, and is shot by face identification device, obtains the second face
Image.
Alternatively, in above-mentioned steps 103, the screen is lighted according to the target display parameters, it may include following steps：
31st, the display parameters of the N wallpapers prestored are obtained, obtain N group display parameters, the N is whole more than 1
Number；
32nd, selection and the immediate one group of display parameters of the target display parameters from the N groups display parameters, and obtain
Wallpaper corresponding with immediate one group of display parameters is taken, obtains target wallpaper；
33rd, the screen is lighted according to the target wallpaper.
Wherein, N wallpapers can be prestored in mobile terminal, the corresponding one group of display parameters of each wallpaper, it is aobvious to obtain N groups
Show parameter, N is the integer more than 1.
For example, during above-mentioned steps 32 are performed, colour temperature and target display parameters in N group display parameters can be chosen
Immediate one group of display parameters, and wallpaper corresponding with immediate one group of display parameters, i.e. target wallpaper are obtained, light
Screen, show the target wallpaper.
For example, during above-mentioned steps 32 are performed, color and target display parameters in N group display parameters can be chosen
Immediate one group of display parameters, and wallpaper corresponding with immediate one group of display parameters, i.e. target wallpaper are obtained, light
Screen, show the target wallpaper.
In another example the weighted value of each display parameters in N group display parameters is determined, and then, determine every group of display parameters pair
The display effect value answered, N number of display effect value is obtained, similarly, determines the weighted value of each display parameters in target display parameters,
Obtain first object display effect value corresponding to the target display parameters.Chosen and the first object from N number of display effect value
Display effect is worth an immediate display effect value, obtains the second target display effect value, obtains its corresponding wallpaper, obtain
Target wallpaper.
Alternatively, as shown in figure iD, Fig. 1 D are the recognition of face side provided in an embodiment of the present invention described by based on Fig. 1 C
Another embodiment of method, it can also include step compared with the face identification method described by Fig. 1 C：
104th, second facial image is matched with default face template, second facial image with it is described
Default face template performs unblock operation when the match is successful.
Wherein, preset before face template can perform above-mentioned steps 101 and prestore, gathered and used by face identification device
The facial image at family realizes that default face template can be stored in face template storehouse.
Alternatively, during above-mentioned steps 104 are performed, by the second facial image and the progress of default face template
To match somebody with somebody, when the matching value between facial image and default face template is more than recognition of face threshold value, then the match is successful, and then, hold
The following unblock flow of row, the matching value between the second facial image and default face template are less than or equal to recognition of face threshold value
When, the whole flow process of recognition of face can be terminated, or, prompt user to re-start recognition of face.
Specifically, can be respectively to the second facial image and default face template during above-mentioned steps 104 are performed
Feature extraction is carried out, then the feature obtained after feature extraction is subjected to characteristic matching.Features described above extraction can use following algorithm
Realize：Harris Corner Detection Algorithms, Scale invariant features transform (Scale Invariant Feature Transform,
SIFT), SUSAN Corner Detection Algorithms etc., will not be repeated here.During step 104 is performed, first facial image can be entered
Row pretreatment, pretreatment may include but be not limited only to：Image enhancement processing, binary conversion treatment, smoothing processing, coloured image conversion
For gray level image etc., then feature extraction is carried out to the second facial image after pretreatment, obtains the feature set of facial image,
At least one face template is selected from face template storehouse again, the face template can be original facial image, or, it is one group
Characteristic set, and then, the characteristic set of the characteristic set of facial image and face template is subjected to characteristic matching, obtains matching knot
Fruit, judge whether that the match is successful according to the matching result.
Wherein, when the matching value between the second facial image and default face template is more than recognition of face threshold value, then may be used
Next unblock flow is performed, next unblock flow may include but be not limited only to：Unblock is realized, with into homepage, or, some
The specified page of application, or, into next step bio-identification step.
Alternatively, in above-mentioned steps 104, second facial image is matched with default face template, it may include
Following steps：
D1, using multi-resolution decomposition algorithm to second facial image carry out multi-resolution decomposition, obtain second people
First high fdrequency component image of face image, and feature extraction is carried out to the first high fdrequency component image, obtain fisrt feature collection；
D2, multi-resolution decomposition carried out to the default face template using the multi-resolution decomposition algorithm, obtained described pre-
If the second high fdrequency component image of face template, and feature extraction is carried out to the second high fdrequency component image, it is special to obtain second
Collection；
D3, the fisrt feature collection and the second feature collection are screened, obtain the first invariant feature collection and described
Second invariant feature collection；
D4, the first invariant feature collection and the second invariant feature collection be subjected to characteristic matching, and described first
When the feature matched between invariant feature collection and the second invariant feature collection is counted out more than predetermined number threshold value, described in confirmation
The match is successful with default face template for second facial image.
Wherein, multi-resolution decomposition algorithm can be used to carry out multi-resolution decomposition to the second facial image, obtains low frequency component figure
Picture and multiple high fdrequency component images, above-mentioned first high fdrequency component image can be one in multiple high fdrequency component images, above-mentioned more
Scale Decomposition algorithm may include but be not limited only to：Wavelet transformation, Laplace transform, profile wave convert (Contourlet
Transform, CT), non-down sampling contourlet transform (Non-subsampled Contourlet Transform, NSCT), cut
Wave conversion etc. is cut, by taking profile ripple as an example, multi-resolution decomposition is carried out to facial image using profile wave convert, one can be obtained
Low frequency component image and multiple high fdrequency component images, and in the plurality of high fdrequency component image each image size not
One, by taking NSCT as an example, multi-resolution decomposition is carried out to facial image using NSCT, a low frequency component image and multiple can be obtained
High fdrequency component image, and in the plurality of high fdrequency component image each image size it is the same.For high fdrequency component image
For, it comprises the detailed information of more original image.Similarly, multi-resolution decomposition algorithm can be used to enter default face template
Row multi-resolution decomposition, obtains low frequency component image and multiple high fdrequency component images, and above-mentioned second high fdrequency component image can be multiple
One in high fdrequency component image, the position between above-mentioned first high fdrequency component image and above-mentioned second high fdrequency component is corresponding,
Hierarchical position i.e. between both is identical with dimension location, for example, the first high fdrequency component image is located at the 2nd layer, the 3rd yardstick,
Then the second high fdrequency component image also is located at the 2nd layer, the 3rd yardstick.In above-mentioned steps D3, fisrt feature collection and second feature collection are entered
Row screening, the first invariant feature collection and the second invariant feature collection are obtained, screening process can in the following way, and fisrt feature is concentrated
Multiple characteristic points can be included, second feature is concentrated and also includes multiple characteristic points, and each characteristic point is a vector, and it includes size
And direction, thus, the mould of each characteristic point can be calculated, if mould is more than a certain threshold value, retains this feature point, in this way, can realize
Characteristic point is screened, above-mentioned predetermined number threshold value can voluntarily be set by user or system default, the first invariant feature collection
The feature matched between the second invariant feature collection is counted out the matching value that can be regarded as between the two, and predetermined number threshold value can manage
Solve as above-mentioned first recognition threshold.Above-mentioned steps D1-D4, it is main consider to realize to the second facial image and default face template it
Between fine-feature matched, the precision of recognition of face can be improved, often in the case of, the feature of detail, is more difficult to puppet
Make, in this way, the security of lifting face unblock.
Alternatively, between above-mentioned steps 103 and step 104, can also comprise the following steps：
Image enhancement processing is carried out to second facial image.
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.
As can be seen that the face identification method described in the embodiment of the present invention, can obtain ambient light, according to ambient light pair
Face is shot, and obtains the first facial image, if the color colour cast of the first facial image adjusts the aobvious of screen in designated color
Show parameter, obtain target display parameters, screen is lighted according to target display parameters, to carry out light filling to face, and shot,
The second facial image is obtained, it is thus possible to when being shot using ambient light to facial image, can if there is colour cast phenomenon
To adjust the display parameters of screen, and then, light filling is carried out to face by screen auxiliary, the facial image after shooting can use up can
There can be colour cast less, improve the quality of facial image, and then, improve face unblock efficiency.
Consistent with the abovely, referring to Fig. 2, embodiment stream for a kind of face identification method provided in an embodiment of the present invention
Journey schematic diagram.Face identification method described in the present embodiment, applied to including face identification device and application processor
AP mobile terminal, its pictorial diagram and structure chart can be found in Figure 1A or Figure 1B, and it comprises the following steps：
201st, ambient light is obtained, face is shot according to the ambient light, obtains the first facial image；
202nd, spectrum analysis is carried out to first facial image, obtains the color component of first facial image.
Wherein, in above-mentioned steps 201, spectrum analysis is carried out to the first facial image, can be included：To the first facial image
Whole image carry out spectrum analysis；Or spectrum analysis is carried out to the human face region in the first facial image.Pass through the party
Formula, the color component of the first facial image can be obtained.
203rd, the color component is compared with pre-set color composition, obtains color deviation degree.
Wherein, color component can be seen that to a certain extent image whether colour cast.Above-mentioned pre-set color composition can be pre-
It is first stored in mobile terminal, it is the color component in the case of non-colour cast.Can by the color component of the first facial image with
Pre-set color composition is compared, and obtains color deviation degree.Because color component can be indicated with ratio, progress can be square
Just color deviation degree is calculated.
204th, when the color deviation degree is in preset range, confirm the color colour cast of first facial image in finger
Determine color, adjust the display parameters of screen, obtain target display parameters.
Wherein, above-mentioned preset range can by system default, or, user is voluntarily set, and then, at color deviation degree
When preset range, the color colour cast of the first facial image is confirmed in designated color, and then, the display parameters of screen are adjusted, are obtained
To target display parameters.
Alternatively, in above-mentioned steps 204, the display parameters of screen are adjusted, target display parameters can be real as follows
Apply：
The color deviation degree is determined according to the mapping relations between the display parameters of default irrelevance and the screen
The corresponding target display parameters.
Wherein, the display parameters of the corresponding screen of each irrelevance, these can be previously obtained by experiment, and then, can
Before the embodiment of the present invention is implemented, to obtain the mapping relations between the display parameters of default irrelevance and the screen,
And then according to the mapping relations, target display parameters corresponding to the color deviation degree in above-mentioned steps 203 are determined, in this way, can be with
In the case of different colour casts, the different display parameters of regulation screen, pointedly to carrying out light filling to face by screen, to carry
Rise the collecting efficiency of facial image.
205th, the screen is lighted according to the target display parameters, to carry out light filling to the face, and is shot,
Obtain the second facial image.
Wherein, above-mentioned steps 201, the specific descriptions of step 205 can refer to pair of the face identification method described by Fig. 1 C
Step is answered, will not be repeated here.
As can be seen that the face identification method described in the embodiment of the present invention, can obtain ambient light, according to ambient light pair
Face is shot, and obtains the first facial image, if the color colour cast of the first facial image adjusts the aobvious of screen in designated color
Show parameter, obtain target display parameters, screen is lighted according to target display parameters, to carry out light filling to face, and shot,
The second facial image is obtained, it is thus possible to when being shot using ambient light to facial image, can if there is colour cast phenomenon
To adjust the display parameters of screen, and then, light filling is carried out to face by screen auxiliary, the facial image after shooting can use up can
There can be colour cast less, improve the quality of facial image, and then, improve face unblock efficiency.
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：
Ambient light is obtained, face is shot according to the ambient light, obtains the first facial image；
If the color colour cast of first facial image adjusts the display parameters of screen, obtains target and show in designated color
Show parameter；
The screen is lighted according to the target display parameters, to carry out light filling to the face, and is shot, obtained
Second facial image.
In a possible example, described program also includes being used for the instruction for performing following steps：
Spectrum analysis is carried out to first facial image, obtains the color component of first facial image；
The color component is compared with pre-set color composition, obtains color deviation degree；
When the color deviation degree is in preset range, confirm the color colour cast of first facial image in the finger
Determine color.
In a possible example, in terms of the display parameters of the adjustment screen, target display parameters, described program
Including the instruction for performing following steps：
The color deviation degree is determined according to the mapping relations between the display parameters of default irrelevance and the screen
The corresponding target display parameters.
In a possible example, in terms of the display parameters of the adjustment screen, described program includes being used to perform
The instruction of following steps：
Obtain the first color spectrum figure of the ambient light；
Obtain default second color spectrum figure；
Determine the frequency spectrum disparity map between the second color spectrum figure and the first color spectrum figure；
It is determined that display parameters corresponding with the frequency spectrum disparity map are as the target display parameters.
In a possible example, it is described light the screen according to the target display parameters in terms of, the journey
Sequence includes being used for the instruction for performing following steps：
The display parameters of the N wallpapers prestored are obtained, obtain N group display parameters, the N is the integer more than 1；
Selection and the immediate one group of display parameters of the target display parameters from the N groups display parameters, and obtain
Wallpaper corresponding with immediate one group of display parameters, obtains target wallpaper；
The screen is lighted according to the target wallpaper.
Fig. 4 A are referred to, Fig. 4 A are a kind of structural representations for face identification device that the present embodiment provides.The face is known
Other device is applied to mobile terminal, and face identification device includes first shooting unit 401, the shooting list of adjustment unit 402 and second
Member 403, wherein,
First shooting unit 401, for obtaining ambient light, face is shot according to the ambient light, obtains first
Facial image；
Adjustment unit 402, if the color colour cast for first facial image adjusts the display of screen in designated color
Parameter, obtain target display parameters；
Second shooting unit 403, for lighting the screen according to the target display parameters, to be carried out to the face
Light filling, and shot, obtain the second facial image.
Alternatively, as Fig. 4 B, the modification structures of face identification devices of Fig. 4 B described by Fig. 4 A, described device can also wrap
Include：Analytic unit 404 and comparing unit 405, it is specific as follows：
Analytic unit 404, for carrying out spectrum analysis to first facial image, obtain first facial image
Color component；
Comparing unit 405, for the color component to be compared with pre-set color composition, color deviation degree is obtained,
And when the color deviation degree is in preset range, confirm the color colour cast of first facial image in the specified face
Color.
Alternatively, the adjustment unit 402 adjusts the display parameters of screen, the specific implementation of target display parameters
For：
The color deviation degree is determined according to the mapping relations between the display parameters of default irrelevance and the screen
The corresponding target display parameters.
Alternatively, if Fig. 4 C, Fig. 4 C are the detail knots of the adjustment unit 402 of the face identification device described by Fig. 4 A
Structure, the adjustment unit 402 may include：Acquisition module 4021 and determining module 4022, it is specific as follows：
Acquisition module 4021, for obtaining the first color spectrum figure of the ambient light；And obtain default second face
Color spectrogram；
Determining module 4022, for determining the frequency spectrum between the second color spectrum figure and the first color spectrum figure
Disparity map；And determine display parameters corresponding with the frequency spectrum disparity map as the target display parameters.
Alternatively, above-mentioned second shooting unit 402 lights the specific implementation of the screen according to the target display parameters
Mode is：
The display parameters of the N wallpapers prestored are obtained, obtain N group display parameters, the N is the integer more than 1；
Selection and the immediate one group of display parameters of the target display parameters from the N groups display parameters, and obtain
Wallpaper corresponding with immediate one group of display parameters, obtains target wallpaper；
The screen is lighted according to the target wallpaper.
As can be seen that the face identification device described in the embodiment of the present invention, can obtain ambient light, according to ambient light pair
Face is shot, and obtains the first facial image, if the color colour cast of the first facial image adjusts the aobvious of screen in designated color
Show parameter, obtain target display parameters, screen is lighted according to target display parameters, to carry out light filling to face, and shot,
The second facial image is obtained, it is thus possible to when being shot using ambient light to facial image, can if there is colour cast phenomenon
To adjust the display parameters of screen, and then, light filling is carried out to face by screen auxiliary, the facial image after shooting can use up can
There can be colour cast less, improve the quality of facial image, and then, improve face unblock efficiency.
It is understood that the function of each program module of the face identification 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：
Ambient light is obtained, face is shot according to the ambient light, obtains the first facial image；
If the color colour cast of first facial image adjusts the display parameters of screen, obtains target and show in designated color
Show parameter；
The screen is lighted according to the target display parameters, to carry out light filling to the face, and is shot, obtained
Second facial image.
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 1C, Fig. 1 D or Fig. 2, each step method flow can the structure based on the mobile phone it is real
It is existing.
In embodiment shown in earlier figures 3, Fig. 4 A~Fig. 4 C, 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 of face identification 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 face identification 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 recognition of face dress being connected with the AP Put, wherein,The face identification device, face is shot for obtaining ambient light, and according to the ambient light, obtained the first Face image；The AP, if the color colour cast for first facial image adjusts the display parameters of screen, obtained in designated color Target display parameters；And the screen is lighted according to the target display parameters, to carry out light filling to the face；The face identification device, for being shot, obtain the second facial image.
- 2. mobile terminal according to claim 1, it is characterised in that the AP also particularly useful for：Spectrum analysis is carried out to first facial image, obtains the color component of first facial image；The color component is compared with pre-set color composition, obtains color deviation degree；When the color deviation degree is in preset range, confirm the color colour cast of first facial image in the specified face Color.
- 3. mobile terminal according to claim 2, it is characterised in that in the display parameters of the adjustment screen, target shows In terms of showing parameter, the AP is specifically used for：Determine that the color deviation degree is corresponding according to the mapping relations between default irrelevance and the display parameters of the screen The target display parameters.
- 4. mobile terminal according to claim 1, it is characterised in that in terms of the display parameters of the adjustment screen, institute AP is stated to be specifically used for：Obtain the first color spectrum figure of the ambient light；Obtain default second color spectrum figure；Determine the frequency spectrum disparity map between the second color spectrum figure and the first color spectrum figure；It is determined that display parameters corresponding with the frequency spectrum disparity map are as the target display parameters.
- 5. according to the mobile terminal described in claim any one of 1-4, it is characterised in that join in described shown according to the target In terms of number lights the screen, the AP is specifically used for：The display parameters of the N wallpapers prestored are obtained, obtain N group display parameters, the N is the integer more than 1；Selection and the immediate one group of display parameters of the target display parameters from the N groups display parameters, and acquisition and institute Wallpaper corresponding to stating immediate one group of display parameters, obtains target wallpaper；The screen is lighted according to the target wallpaper.
- A kind of 6. face identification method, it is characterised in that applied to including application processor AP, and the people being connected with the AP The mobile terminal of face identification device, methods described include：The face identification device obtains ambient light, and face is shot according to the ambient light, obtains the first face figure Picture；The AP adjusts the display parameters of screen, obtains mesh when the color colour cast of first facial image is in designated color Mark display parameters；And the screen is lighted according to the target display parameters, to carry out light filling to the face；The face identification device is shot, and obtains the second facial image.
- A kind of 7. face identification method, it is characterised in that including：Ambient light is obtained, face is shot according to the ambient light, obtains the first facial image；If the color colour cast of first facial image adjusts the display parameters of screen, obtains target display ginseng in designated color Number；The screen is lighted according to the target display parameters, to carry out light filling to the face, and is shot, obtains second Facial image.
- 8. according to the method for claim 7, it is characterised in that methods described also includes：Spectrum analysis is carried out to first facial image, obtains the color component of first facial image；The color component is compared with pre-set color composition, obtains color deviation degree；When the color deviation degree is in preset range, confirm the color colour cast of first facial image in the specified face Color.
- 9. according to the method for claim 8, it is characterised in that the display parameters of the adjustment screen, target display parameters, Including：Determine that the color deviation degree is corresponding according to the mapping relations between default irrelevance and the display parameters of the screen The target display parameters.
- 10. according to the method for claim 7, it is characterised in that the display parameters of the adjustment screen, including：Obtain the first color spectrum figure of the ambient light；Obtain default second color spectrum figure；Determine the frequency spectrum disparity map between the second color spectrum figure and the first color spectrum figure；It is determined that display parameters corresponding with the frequency spectrum disparity map are as the target display parameters.
- 11. according to the method described in claim any one of 7-10, it is characterised in that described according to the target display parameters point The bright screen, including：The display parameters of the N wallpapers prestored are obtained, obtain N group display parameters, the N is the integer more than 1；Selection and the immediate one group of display parameters of the target display parameters from the N groups display parameters, and acquisition and institute Wallpaper corresponding to stating immediate one group of display parameters, obtains target wallpaper；The screen is lighted according to the target wallpaper.
- A kind of 12. face identification device, it is characterised in that including：First shooting unit, for obtaining ambient light, face is shot according to the ambient light, obtain the first face figure Picture；Adjustment unit, if the color colour cast for first facial image adjusts the display parameters of screen, obtained in designated color To target display parameters；Second shooting unit, for lighting the screen according to the target display parameters, to carry out light filling to the face, and Shot, obtain the second facial image.
- 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.
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| PCT/CN2018/102278 WO2019052329A1 (en) | 2017-09-12 | 2018-08-24 | Facial recognition method and related product |
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| CN107609514B (en) * | 2017-09-12 | 2021-08-06 | Oppo广东移动通信有限公司 | Face recognition method and related product |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2019052329A1 (en) * | 2017-09-12 | 2019-03-21 | Oppo广东移动通信有限公司 | Facial recognition method and related product |
| CN108288044A (en) * | 2018-01-31 | 2018-07-17 | 广东欧珀移动通信有限公司 | Electronic device, face identification method and Related product |
| CN110472459A (en) * | 2018-05-11 | 2019-11-19 | 华为技术有限公司 | The method and apparatus for extracting characteristic point |
| CN111145194A (en) * | 2019-12-31 | 2020-05-12 | 联想(北京)有限公司 | Processing method, processing device and electronic equipment |
| CN111145194B (en) * | 2019-12-31 | 2024-09-20 | 联想(北京)有限公司 | Processing method, processing device and electronic equipment |
| CN111486950A (en) * | 2020-04-20 | 2020-08-04 | Oppo广东移动通信有限公司 | Ambient light detection method, ambient light detection device, electronic apparatus, and storage medium |
| CN111652131A (en) * | 2020-06-02 | 2020-09-11 | 浙江大华技术股份有限公司 | Face recognition device, light supplementing method thereof and readable storage medium |
| CN113359734A (en) * | 2021-06-15 | 2021-09-07 | 苏州工业园区报关有限公司 | Logistics auxiliary robot based on AI |
| CN113359734B (en) * | 2021-06-15 | 2022-02-22 | 苏州工业园区报关有限公司 | Logistics auxiliary robot based on AI |
Also Published As
| Publication number | Publication date |
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| CN107609514B (en) | 2021-08-06 |
| WO2019052329A1 (en) | 2019-03-21 |
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