CN101646017A - Automatic photographing method for face detection - Google Patents
Automatic photographing method for face detection Download PDFInfo
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- CN101646017A CN101646017A CN200810145355A CN200810145355A CN101646017A CN 101646017 A CN101646017 A CN 101646017A CN 200810145355 A CN200810145355 A CN 200810145355A CN 200810145355 A CN200810145355 A CN 200810145355A CN 101646017 A CN101646017 A CN 101646017A
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Abstract
The invention discloses an automatic photographing method for face detection, which is used for a photographer to photograph a target object. The automatic photographing method for face detection comprises the steps of: detecting the face of the photographer through a detection lens and acquiring at least two face images of the face; capturing an image variation of the face images; and when judging the image variation exceeds a photographing starting value, photographing the target object through a photographic lens. In the whole process, a shutter button does not need to be pressed, and the photographing can be finished only by using the variation of the face images of the photographer, so hand tremor caused by the pressing operation can be completely avoided, and further the photographicquality is improved.
Description
Technical field
The present invention is about the automatic photographing method of a kind of photographic method, particularly a kind of face recognition.
Background technology
At present, general camera user widespread hand-held is taken pictures.Because the hand-held style of shooting of pushing can cause hand earthquake situations condition to take place, so how current camera is with anti-hand shake function.
Wherein, anti-hand shake function is divided into optical profile type and electronic type.Two kinds of anti-hand shake functions for the current camera widespread usage.
The anti-hand shake of optical profile type function is to add unsteady photo-sensitive cell or unsteady eyeglass in lens system, by revising parallel moving or the caused crooked situation of vertical moving, this eyeglass that floats can produce reverse correction according to the moving direction of camera lens, can make the camera lens maintenance stablize and can not improve and take quality because of rocking the generation blurred picture.
The anti-hand shake of electronic type function then is to rock the blurred picture of generation by electronic circuit modifying factor.It utilizes Pixel calcualting, or the built-in electronic operation of camera, and removal may be given a shock the image of influence, reaches the effect of image correction.
Yet, be that the anti-hand shake function of optical profile type or electronic type all has its functional limit, can't avoid the influence of hand shake fully, when shutter speed arrives to a certain degree slowly, any slight vibrations all may have influence on the picture of shooting when taking pictures, even this moment, camera had the function of anti-hand shake of all kinds all can't shoot perfect shockproof image.
Summary of the invention
In order to solve the problem of above-mentioned background technology, the present invention proposes a kind of automatic photographing method of face recognition, can't avoid the problem of hand shake influence fully with the anti-hand shake function that solves the existing camera of background technology.
For solving the problems of the technologies described above, the invention provides a kind of automatic photographing method of face recognition, use for photographer's photographic subjects thing, comprise the face of detecting photographer by detector lens, and obtain at least two face images of face, capture the image change amount of described face image again, judge that then the image change amount surpasses when taking the startup value by taking lens photographic subjects thing.
In the automatic photographing method of face recognition of the present invention, preferably, also can comprise by the focusing step of this taking lens to this object focusing.
In the automatic photographing method of face recognition of the present invention, preferably, described focusing step comprises: push a button to start this taking lens to this object focusing.
In the automatic photographing method of face recognition of the present invention, preferably, described focusing step comprises: start this taking lens automatically to this object focusing.
In the automatic photographing method of face recognition of the present invention, preferably, described focusing step comprises the face of detecting photographer by detector lens, obtain the face image of face again, then capture the image change amount of face image, at last, when judging that the image change amount surpasses focusing startup value, just object is focused by taking lens.
In the automatic photographing method of face recognition of the present invention, preferably, the described step that obtains at least two face images of this face comprises: a plurality of pixel cells of obtaining described face image.
In the automatic photographing method of face recognition of the present invention, preferably, the step of an image change amount of described this face image of acquisition comprises: this image change amount of the described face image of acquisition in described a plurality of pixel cells of this face image.
Useful technique effect of the present invention is: the present invention utilizes taking lens that object is focused, detect photographer's face to obtain face image by detector lens again, again according to face image acquisition image change amount, when surpassing shooting startup value, the image change amount passes through taking lens photographic subjects thing at last, whole process need not to push shutter key, only utilize the variation of photographer's face image can finish shooting, therefore the hand that can avoid fully causing because of push action shakes, and is improved the quality of taking pictures.
Above about summary of the invention of the present invention explanation and the explanation of following embodiment in order to demonstration with explain spirit of the present invention and principle.
Description of drawings
Fig. 1 is the automatic camera flow chart of the face recognition of one embodiment of the invention;
Fig. 2 is the automatic camera flow chart of the face recognition of another embodiment of the present invention;
Fig. 3 is the automatic focusing flow chart of the face recognition of one embodiment of the invention; And
Fig. 4 is the Automatic camera schematic diagram of the face recognition of one embodiment of the invention.
Wherein, description of reference numerals is as follows:
10 fuselages
20 detector lens
30 taking lenss
40 screens
Embodiment
Below in execution mode, be described in detail detailed features of the present invention and advantage, its content is enough to make any those skilled in the art to understand technology contents of the present invention and implements according to this, and according to the scope and the Figure of description of the disclosed content of this specification, claims, any those skilled in the art can understand purpose and the advantage that the present invention is correlated with easily.Following embodiment further describes viewpoint of the present invention, but non-to limit the scope of the invention anyways.
Please refer to Fig. 1, it is the automatic camera flow chart of the face recognition of one embodiment of the invention.As shown in Figure 1, the automatic photographing method of face recognition comprises face's (step 100) of detecting photographer earlier by detector lens, and obtain the face image (step 110) of photographer face, then, capture the image change amount (step 120) of this face image again, at last, when judging that the image change amount surpasses default shooting startup value, pass through taking lens photographic subjects thing (step 130).
Wherein, the step that obtains the face image of photographer face comprises a plurality of pixel cells of obtaining face image.
The image change amount of acquisition face image is included in the image change amount of acquisition face image in a plurality of pixel cells of face image, and at this, the image change amount by two face images relatively and get.
Present embodiment is to detect photographer's face by detector lens, and obtains the variation of photographer's face image, again by taking lens photographic subjects thing.
Below illustrate, for example, the image change amount can be by detector lens and obtains first face image of photographer face and the measures of dispersion between second face image, wherein first face image and second face image are made up of a plurality of pixel cells, therefore can compare the measures of dispersion of pixel cell between two images, thereby obtain the image change amount.As dot chart (BMP; Bit Mapped) file format, can by in the image of two BMP files relatively between each figure point the difference of image document learn the image change amount, yet this is an exemplary illustration only, is not in order to limit form of implementation of the present invention.
Please refer to Fig. 2, it is the automatic camera flow chart of the face recognition of another embodiment of the present invention.As shown in Figure 2, the present invention also can add a focusing step, the automatic photographing method of the face recognition of present embodiment comprises by taking lens object focusing (step 200), detect face's (step 100) of photographer again by detector lens, and obtain the face image (step 110) of photographer face, then, capture the image change amount (step 120) of this face image again, at last, when judging that the image change amount surpasses default shooting startup value, pass through taking lens photographic subjects thing (step 130).
Present embodiment detects photographer's face again for by taking lens object being focused earlier by detector lens, and obtains the variation of photographer's face image, at last again by taking lens photographic subjects thing.
Below illustrate, for example, when user's desire is taken an object, the i.e. thing action (step 200) of focusing that aims at the mark of taking lens by camera, then detect (step 100) by detector lens aligning photographer's face again, by obtaining photographer's face image (step 110), and then, when photographer's countenance changes, the face image of obtaining also will change, therefore before camera is able to change by comparison with change after the difference of two face images on pixel cell capture the image change amount (step 120) that obtains, at last, when the image change amount is judged when surpassing a default shooting startup value, promptly by taking lens photographic subjects thing (step 130).
At this, the focusing step comprises that pushing a button focuses to object to start taking lens, perhaps, starts taking lens automatically object is focused.
In addition, also can change startup focusing action by photographer's countenance.Below please refer to Fig. 3, it is the automatic focusing flow chart of the face recognition of one embodiment of the invention.
As shown in Figure 3, wherein, detect face's (step 210) of photographer by detector lens, obtain the face image (step 220) of face again, then, the image change amount (step 230) of acquisition face image, last, judge when the image change amount surpasses focusing startup value, promptly by taking lens to object focusing (step 240).
Present embodiment is to detect photographer's face earlier by detector lens, and obtains the variation of photographer's face image, by taking lens object is focused at last again.
Below illustrate, for example, when user's desire is focused an object, promptly detect (step 210) by detector lens aligning photographer's face, by obtaining photographer's face image (step 220), and then, when photographer's countenance changes, the face image of obtaining also will change, therefore before camera is able to change by comparison with change after the difference of two face images on pixel cell capture the image change amount (step 230) that obtains, at last, when the image change amount is judged when surpassing a default focusing startup value, promptly by taking lens to object focusing (step 240).
Below will be for example be described further with the Automatic camera of face recognition.Please refer to Fig. 4, it is the Automatic camera schematic diagram of the face recognition of one embodiment of the invention.As shown in Figure 4, the Automatic camera of face recognition comprises fuselage 10, detector lens 20, taking lens 30 and screen 40.
Present embodiment is a face of detecting photographer earlier by detector lens 20, and obtain the variation of photographer's face image, again by 30 pairs of object focusings of taking lens, next detect photographer's face once more by detector lens 20, and obtain the variation of photographer's face image, at last again by taking lens 30 photographic subjects things.
When user's desire is taken an object, can be earlier with the taking lens 30 of the Automatic camera of the face recognition thing that aims at the mark, allow object be shown in screen 40 central authorities, and then, (step 210) detects in the face that detector lens 20 is aimed at photographer again, by obtaining photographer's face image (step 220), and then, when photographer's countenance changes, the face image of obtaining also will change, therefore before camera is able to change by comparison with change after the difference of two face images on pixel cell capture the image change amount (step 230) that obtains, come again, when the image change amount is judged when surpassing a default focusing startup value, promptly by 30 pairs of objects focusings of taking lens (step 240).Next, (step 100) detects in the face of aiming at photographer by detector lens 20 once more, by obtaining photographer's face image (step 110), and then, when photographer's countenance changes, the face image of obtaining also will change, therefore before camera is able to change by comparison with change after the difference of two face images on pixel cell capture the image change amount (step 120) that obtains, at last, when the image change amount is judged when surpassing a default shooting startup value, promptly by taking lens 30 photographic subjects things (step 130).
Wherein, taking lens 30 and detector lens 20 can select to use the camera lens of identical or different kind, can select preferable CCD (the Charge Coupled Device of shooting quality for use as taking lens 30, the sensitization coupling element) camera lens, and detector lens 20 can be selected the comparatively cheap CMOS of price (ComplementaryMetal-Oxide Semiconductor for use, complementary matal-oxide semiconductor) camera lens, with the manufacturing cost of reduction camera, yet this only is an exemplary illustration.
In sum, the present invention utilizes taking lens that object is focused, detect photographer's face to obtain face image by detector lens again, again according to face image acquisition image change amount, pass through taking lens photographic subjects thing at last when the image change amount surpasses shooting startup value, whole process need not to push shutter key, only utilizes the variation of photographer's face image can finish shooting, therefore the hand that can avoid fully causing because of push action shakes, and is improved the quality of taking pictures.
Claims (7)
1, a kind of automatic photographing method of face recognition is used for a photographer and is taken an object, comprises step:
Detect this photographer's a face by a detector lens;
Obtain at least two face images of this face;
Capture an image change amount of described face image; And
Judge when this image change amount surpasses a shooting startup value and take this object by a taking lens.
2,, also comprise by the focusing step of this taking lens to this object focusing as the automatic photographing method of claim 1 a described face recognition.
3, as the automatic photographing method of claim 2 a described face recognition, wherein said focusing step comprises: push a button to start this taking lens to this object focusing.
4, as the automatic photographing method of claim 2 a described face recognition, wherein said focusing step comprises: start this taking lens automatically to this object focusing.
5, as the automatic photographing method of claim 2 a described face recognition, wherein said focusing step comprises:
Detect this face of this photographer by this detector lens;
Obtain this face image of this face;
Capture this image change amount of this face image; And
Judge when this image change amount surpasses a focusing startup value and this object is focused by this taking lens.
6, as the automatic photographing method of claim 1 a described face recognition, the wherein said step that obtains at least two face images of this face comprises: a plurality of pixel cells of obtaining described face image.
7, as the automatic photographing method of claim 6 a described face recognition, the step of an image change amount of wherein said this face image of acquisition comprises: this image change amount of the described face image of acquisition in described a plurality of pixel cells of this face image.
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| CN200810145355A CN101646017A (en) | 2008-08-07 | 2008-08-07 | Automatic photographing method for face detection |
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| CN200810145355A CN101646017A (en) | 2008-08-07 | 2008-08-07 | Automatic photographing method for face detection |
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098530A (en) * | 2010-12-02 | 2011-06-15 | 惠州Tcl移动通信有限公司 | Method and device for automatically distinguishing quality of camera module |
| CN102201051A (en) * | 2010-03-25 | 2011-09-28 | 汉王科技股份有限公司 | Text excerpting device, method and system |
| CN103079034A (en) * | 2013-01-06 | 2013-05-01 | 北京百度网讯科技有限公司 | Perception shooting method and system |
| CN103269415A (en) * | 2013-04-16 | 2013-08-28 | 广东欧珀移动通信有限公司 | Automatic photo taking method for face recognition and mobile terminal |
| CN103685940A (en) * | 2013-11-25 | 2014-03-26 | 上海斐讯数据通信技术有限公司 | Method for recognizing shot photos by facial expressions |
| CN103929583A (en) * | 2013-01-15 | 2014-07-16 | 北京三星通信技术研究有限公司 | Method for controlling intelligent terminal and intelligent terminal |
| CN104144289A (en) * | 2013-05-10 | 2014-11-12 | 华为技术有限公司 | Photographing method and device |
| CN104683680A (en) * | 2013-11-28 | 2015-06-03 | 中国移动通信集团公司 | A method, device and mobile terminal for automatically taking a picture |
| CN104735357A (en) * | 2015-03-27 | 2015-06-24 | 天脉聚源（北京）教育科技有限公司 | Automatic picture shooting method and device |
| CN105704360A (en) * | 2014-11-25 | 2016-06-22 | 索尼公司 | Auxiliary automatic focusing method, device and electronic device |
| US9591211B2 (en) | 2013-05-10 | 2017-03-07 | Huawei Technologies Co., Ltd. | Photographing method and apparatus |
| CN106506974A (en) * | 2016-12-13 | 2017-03-15 | 北京鸿合智能系统股份有限公司 | A kind of automatic photographing method and device |
| CN103873755B (en) * | 2012-12-14 | 2017-06-16 | 鸿富锦精密工业（深圳）有限公司 | Jump portrait system and method |
| WO2019104569A1 (en) * | 2017-11-30 | 2019-06-06 | 深圳市大疆创新科技有限公司 | Focusing method and device, and readable storage medium |
| CN109905595A (en) * | 2018-06-20 | 2019-06-18 | 成都市喜爱科技有限公司 | A kind of method, apparatus, equipment and medium shot and play |
| CN110868537A (en) * | 2019-11-08 | 2020-03-06 | 维沃移动通信有限公司 | Shooting method and electronic equipment |
| US11438466B2 (en) | 2019-12-19 | 2022-09-06 | HCL Technologies Italy S.p.A. | Generating an automatic virtual photo album |
| US11627248B2 (en) | 2019-02-03 | 2023-04-11 | Chengdu Sioeye Technology Co., Ltd. | Shooting method for shooting device, and electronic equipment |
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2008
- 2008-08-07 CN CN200810145355A patent/CN101646017A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102201051A (en) * | 2010-03-25 | 2011-09-28 | 汉王科技股份有限公司 | Text excerpting device, method and system |
| CN102098530A (en) * | 2010-12-02 | 2011-06-15 | 惠州Tcl移动通信有限公司 | Method and device for automatically distinguishing quality of camera module |
| CN103873755B (en) * | 2012-12-14 | 2017-06-16 | 鸿富锦精密工业（深圳）有限公司 | Jump portrait system and method |
| CN103079034A (en) * | 2013-01-06 | 2013-05-01 | 北京百度网讯科技有限公司 | Perception shooting method and system |
| CN103929583B (en) * | 2013-01-15 | 2018-08-10 | 北京三星通信技术研究有限公司 | A kind of method and intelligent terminal of control intelligent terminal |
| CN103929583A (en) * | 2013-01-15 | 2014-07-16 | 北京三星通信技术研究有限公司 | Method for controlling intelligent terminal and intelligent terminal |
| CN103269415A (en) * | 2013-04-16 | 2013-08-28 | 广东欧珀移动通信有限公司 | Automatic photo taking method for face recognition and mobile terminal |
| CN104144289A (en) * | 2013-05-10 | 2014-11-12 | 华为技术有限公司 | Photographing method and device |
| US9591211B2 (en) | 2013-05-10 | 2017-03-07 | Huawei Technologies Co., Ltd. | Photographing method and apparatus |
| CN104144289B (en) * | 2013-05-10 | 2018-02-06 | 华为技术有限公司 | Photographic method and device |
| US9918007B2 (en) | 2013-05-10 | 2018-03-13 | Huawei Technologies Co., Ltd. | Photographing method and apparatus |
| CN103685940A (en) * | 2013-11-25 | 2014-03-26 | 上海斐讯数据通信技术有限公司 | Method for recognizing shot photos by facial expressions |
| CN104683680A (en) * | 2013-11-28 | 2015-06-03 | 中国移动通信集团公司 | A method, device and mobile terminal for automatically taking a picture |
| CN105704360A (en) * | 2014-11-25 | 2016-06-22 | 索尼公司 | Auxiliary automatic focusing method, device and electronic device |
| CN104735357A (en) * | 2015-03-27 | 2015-06-24 | 天脉聚源（北京）教育科技有限公司 | Automatic picture shooting method and device |
| CN106506974A (en) * | 2016-12-13 | 2017-03-15 | 北京鸿合智能系统股份有限公司 | A kind of automatic photographing method and device |
| WO2019104569A1 (en) * | 2017-11-30 | 2019-06-06 | 深圳市大疆创新科技有限公司 | Focusing method and device, and readable storage medium |
| CN109905595A (en) * | 2018-06-20 | 2019-06-18 | 成都市喜爱科技有限公司 | A kind of method, apparatus, equipment and medium shot and play |
| CN109905595B (en) * | 2018-06-20 | 2021-07-06 | 成都市喜爱科技有限公司 | Shooting and playing method, device, equipment and medium |
| US11245838B2 (en) | 2018-06-20 | 2022-02-08 | Chengdu Sioeye Technology Co., Ltd. | Shooting method for shooting device, and electronic equipment |
| US11627248B2 (en) | 2019-02-03 | 2023-04-11 | Chengdu Sioeye Technology Co., Ltd. | Shooting method for shooting device, and electronic equipment |
| CN110868537A (en) * | 2019-11-08 | 2020-03-06 | 维沃移动通信有限公司 | Shooting method and electronic equipment |
| CN110868537B (en) * | 2019-11-08 | 2022-01-04 | 维沃移动通信有限公司 | Shooting method and electronic equipment |
| US11438466B2 (en) | 2019-12-19 | 2022-09-06 | HCL Technologies Italy S.p.A. | Generating an automatic virtual photo album |
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Open date: 20100210 |