CN105516589A - Intelligent exposure method and system based on face recognition - Google Patents
Intelligent exposure method and system based on face recognition Download PDFInfo
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- CN105516589A CN105516589A CN201510891022.6A CN201510891022A CN105516589A CN 105516589 A CN105516589 A CN 105516589A CN 201510891022 A CN201510891022 A CN 201510891022A CN 105516589 A CN105516589 A CN 105516589A
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- exposure
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
Abstract
The invention provides an intelligent exposure method and system based on face recognition. The intelligent exposure method based on face recognition comprises: obtaining an exposure scene type according to a face recognition algorithm, wherein the exposure scene type comprises a scene without a face and a scene with a face; judging a face state according to a face motion state analyzing method, wherein the face motion state comprises a stable state and a nonstable state; adjusting an exposure parameter according to the exposure scene type and the face state, wherein adjusting the exposure parameter comprises: selecting an exposure region, adjusting an exposure weight and adjusting exposure adjusting speed; and controlling the exposure parameters according to the exposure region, the exposure weight and the exposure adjusting speed. According to the invention, the exposure scene type and the face state are taken as the basis for adjusting the exposure parameter; the function of the face recognition and analysis in controlling the exposure parameter is stressed; the phenomenon of influencing the normal exposure of a human body face through taking the whole image as the reference to calculate the exposure estimation value is effectively avoided, and the problem in the prior art that the influence of the environment on exposure of the partial region of the face is relatively great is solved.
Description
Technical field
The present invention relates to a kind of exposure method and system, particularly relate to a kind of intelligent exposure method based on recognition of face and system.
Background technology
Face recognition technology is based on the face feature of people, first the facial image inputted or video flowing are judged whether it exists face, if there is face, then further provide the positional information of the position of each face, size and each major facial organ, and according to these information, the identity characteristic contained in each face of further extraction, and itself and known face are contrasted, thus identify the identity of each face.Face recognition technology can identify individual identity by face feature information and be subject to extensive concern.This technology has the features such as noncontact, non-imposed and concurrency because of it and is widely used in multiple fields such as face verification, safety, monitoring and man-machine interaction.
Along with the extensive use of face recognition technology, therefore the monitoring camera possessing face identification functions also arises at the historic moment.Automatic exposure algorithm is one of the most basic image processing algorithm of monitoring camera.Traditional automatic exposure algorithm take full figure as benchmark exposure evaluation value, exposure evaluation value and ideal exposure value is compared, and according to comparative result determination exposure parameter method of adjustment.
Under uniform light, bright condition, traditional automatic exposure algorithm better to the exposure effect of face; But under special illumination condition, traditional automatic exposure algorithm may cause face regional area to expose abnormal phenomenon, in the backlight situation that such as background is excessively bright, easily occur that face is under-exposed, cause face excessively dark, phenomenon not even not clearly.
Summary of the invention
The invention provides a kind of intelligent exposure method based on recognition of face and system, to solve prior art to face regional area exposure effect larger problem affected by environment.
The invention provides a kind of intelligent exposure method based on recognition of face, it is characterized in that, the described intelligent exposure method based on recognition of face comprises: according to face recognition algorithms, obtains exposure scene type, and described exposure scene type comprises without face scene and has face scene; According to face motion state analytical method, judge face state, described face state comprises stable state and non-steady state; According to exposure scene type and face state, adjustment exposure parameter, described adjustment exposure parameter comprises selects exposure area, adjustment exposure weight and adjustment exposure to regulate the speed; Regulate the speed according to described exposure area, described exposure weight and described exposure and carry out exposure parameter control.
Preferably, described according to exposure scene type and face state, adjustment exposure parameter comprises: if described exposure scene is without face scene, then select full figure as exposure area; If described exposure scene is for there being face scene, and is in stable state, then select face regional area as exposure area; If described exposure scene is for there being face scene, and is in non-steady state, then select the expansion frame of face regional area and described face regional area as exposure area.
Preferably, described face regional area is with described face recognition result real-time update.
Preferably, described according to exposure scene type and face state, adjustment exposure parameter comprises: if described exposure scene is without face scene, then exposing weight adjusting is that centre is high, surrounding is low; If described exposure scene is for there being face scene, and is in stable state, then exposing weight adjusting is that face regional area is the highest; If described exposure scene is for there being face scene, and be in non-steady state, then exposing weight adjusting is that the direction of motion that face regional area and face motion state analysis result are predicted is the highest, other regions are 0, and described height, described low and described most coca are according to camera use scenes and user's request setting.
Preferably, described according to exposure scene type and face state, adjustment exposure parameter comprises: if described exposure scene is without face scene, then exposure is regulated the speed as rapid adjustment; If described exposure scene is for there being face scene, and is in stable state, then exposure is regulated the speed as rapid adjustment; If described exposure scene is for there being face scene, and is in non-steady state, then exposure is regulated the speed as adjustment or exposure locking at a slow speed.
The present invention also provides a kind of intelligent exposure system based on recognition of face, the described intelligent exposure system based on recognition of face comprises: exposure scene type acquisition module, described exposure scene type acquisition module is used for according to face recognition algorithms, obtain exposure scene type, described exposure scene type comprises without face scene and has face scene; Face condition judgment module, described face condition judgment module is used for according to face motion state analytical method, and judge face state, described face state comprises stable state and non-steady state; Exposure parameter adjusting module, described exposure parameter adjusting module is used for according to exposure scene type and face state, adjustment exposure parameter, and described adjustment exposure parameter comprises selects exposure area, adjustment exposure weight and adjustment exposure to regulate the speed; Exposure parameter control module, described exposure parameter control module is used for regulating the speed according to described exposure area, described exposure weight and described exposure carrying out exposure parameter control.
The technical scheme that embodiments of the invention provide can comprise following beneficial effect:
The invention provides a kind of intelligent exposure method based on recognition of face, the described intelligent exposure method based on recognition of face comprises: according to face recognition algorithms, obtains exposure scene type, and described exposure scene type comprises without face scene and has face scene; According to face motion state analytical method, judge face state, described face state comprises stable state and non-steady state; According to exposure scene type and face state, adjustment exposure parameter, described adjustment exposure parameter comprises selects exposure area, adjustment exposure weight and adjustment exposure to regulate the speed; Regulate the speed according to described exposure area, described exposure weight and described exposure and carry out exposure parameter control.The present invention is using the exposure scene type obtained and face state as the foundation of adjustment exposure parameter, outstanding recognition of face and the effect analyzed in exposure parameter controls, effectively avoiding the phenomenon affecting human body face normal exposure because being benchmark exposure evaluation value with full figure, prior art can be solved to face regional area exposure effect larger problem affected by environment.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the present invention.
Accompanying drawing explanation
Fig. 1 is the flow chart of a kind of intelligent exposure method based on recognition of face provided in the embodiment of the present invention;
Fig. 2 be provide in the embodiment of the present invention the first according to exposure scene type and face state, the method flow diagram of adjustment exposure parameter;
Fig. 3 be the second of providing in the embodiment of the present invention according to exposure scene type and face state, the method flow diagram of adjustment exposure parameter;
Fig. 4 is the schematic diagram of face regional area and the expansion frame provided in the embodiment of the present invention;
Fig. 5 be provide in the embodiment of the present invention the third according to exposure scene type and face state, the method flow diagram of adjustment exposure parameter;
Fig. 6 is the structural representation of a kind of intelligent exposure system based on recognition of face provided in the embodiment of the present invention.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Execution mode described in following exemplary embodiment does not represent all execution modes consistent with the present invention.On the contrary, they only with as in appended claims describe in detail, the example of device that aspects more of the present invention are consistent.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiment.
Please refer to Fig. 1, the flow chart of a kind of intelligent exposure method based on recognition of face provided in the embodiment of the present invention is provided.
As shown in Figure 1, the invention provides a kind of intelligent exposure method based on recognition of face, the described intelligent exposure method based on recognition of face comprises: according to face recognition algorithms, obtains exposure scene type, and described exposure scene type comprises without face scene and has face scene; According to face motion state analytical method, judge face state, described face state comprises stable state and non-steady state; According to exposure scene type and face state, adjustment exposure parameter, described adjustment exposure parameter comprises selects exposure area, adjustment exposure weight and adjustment exposure to regulate the speed; Regulate the speed according to described exposure area, described exposure weight and described exposure and carry out exposure parameter control.Face recognition algorithms described in this programme and face motion state analytical method use existing current techique, face recognition algorithms can judge the concrete coordinate position whether containing human body face feature and human body face feature in scene, namely obtain exposure scene type, comprise without face scene and have face scene and the coordinate position of human body face feature in above scene.Exposure parameter control described in this programme referring to described exposure area, exposure weight and exposure to regulate the speed to be issued in module come into force.
When have in face scene only include a face time, then choose this face as human face target; When have comprise multiple face in face scene time, then choose face that in image, face area is maximum as human face target.
Face state comprises stable state and non-steady state, described stable state refer to face transfixion or motion amplitude less time state; Described non-steady state refer to face motion amplitude larger time state.The judgment formula of described stable state and described non-steady state is:
||F
i-1(x,y)-F
i(x,y)||＜＝δ
Wherein, F
i-1(x, y) is face location coordinate in previous frame image, F
i(x, y) is face location coordinate in current frame image, and when Euclidean distance is less than or equal to δ, face state is stable state, and when Euclidean distance is greater than δ, face state is unsteady state.Wherein, the numerical value of δ is less, and the precision of stable state is higher, and the concrete numerical value of δ need be determined according to practical application scene and user's request.
The present invention is using the exposure scene type obtained and face state as the foundation of adjustment exposure parameter, outstanding recognition of face and the effect analyzed in exposure parameter controls, effectively avoiding the phenomenon affecting human body face normal exposure because being benchmark exposure evaluation value with full figure, prior art can be solved to face regional area exposure effect larger problem affected by environment.
Please refer to Fig. 2, be depicted as provide in the embodiment of the present invention the first according to exposure scene type and face state, the method flow diagram of adjustment exposure parameter.
As shown in Figure 2, described according to exposure scene type and face state, adjustment exposure parameter comprises: if described exposure scene is without face scene, then select full figure as exposure area; If described exposure scene is for there being face scene, and is in stable state, then select face regional area as exposure area; If described exposure scene is for there being face scene, and is in non-steady state, then select the expansion frame of face regional area and described face regional area as exposure area.
If described exposure scene is that then this programme is same as the prior art without face scene, select full figure as exposure area; If described exposure scene is for there being face scene, and is in stable state, then select face regional area as exposure area, and the region beyond face regional area, this programme is not set to exposure area; If described exposure scene is for there being face scene, and is in non-steady state, then select the expansion frame of face regional area and described face regional area as exposure area.
Further, described face regional area, with described face recognition result real-time update, improves the accuracy of human body face exposure, solves prior art further to face regional area exposure effect larger problem affected by environment.
Please refer to Fig. 3, be depicted as the second of providing in the embodiment of the present invention according to exposure scene type and face state, the method flow diagram of adjustment exposure parameter.
As shown in Figure 3, described according to exposure scene type and face state, adjustment exposure parameter also comprises: if described exposure scene is without face scene, then exposing weight adjusting is that centre is high, surrounding is low; If described exposure scene is for there being face scene, and is in stable state, then exposing weight adjusting is that face regional area is the highest; If described exposure scene is for there being face scene, and be in non-steady state, then exposing weight adjusting is that the direction of motion that face regional area and face motion state analysis result are predicted is the highest, other regions are 0, wherein, described height, described low and described most coca are according to camera use scenes and user's request setting.
Please refer to Fig. 4, the schematic diagram of face regional area and the expansion frame provided in the embodiment of the present invention is provided.
In Fig. 4, the grid being in 9 palace lattice middle is face regional area, and surrounding 8 grid are the expansion frame of face regional area, and the exposure weight of expansion frame is according to the direction of motion dynamic conditioning doped.Such as, if dope face when moving right, then zone line and right extension frame have exposure weight (in Fig. 4 dash area), and exposure weights of other expansion frame region are 0.Distance and the FPGA time delay frame number of the size of expansion frame grid and the frame frequency of camera, lens parameters, maximal rate that people walks about, the relative camera lens of people all have relation, in actual applications, the size of 9 grid be similar to get equal.
Please refer to Fig. 5, be depicted as provide in the embodiment of the present invention the third according to exposure scene type and face state, the method flow diagram of adjustment exposure parameter.
As shown in Figure 5, described according to exposure scene type and face state, adjustment exposure parameter comprises: if described exposure scene is without face scene, then exposure is regulated the speed as rapid adjustment; If described exposure scene is for there being face scene, and is in stable state, then exposure is regulated the speed as rapid adjustment; If described exposure scene is for there being face scene, and is in non-steady state, then exposure is regulated the speed as adjustment or exposure locking at a slow speed.
Exposure is regulated the speed to refer to and exposure status is adjusted to frame number needed for perfect condition or time by current state.Rapid adjustment refers to that adjustment required frame numerical control is within 10 frames, and adjustment can control degree at a slow speed according to the actual requirements at a slow speed, and exposure locking refers to and the exposure parameter such as time for exposure, gain is locked in current state does not adjust.
The present invention is by analyzing the key parameter of face moving situation dynamic conditioning automatic exposure algorithm, the unidentified quick and precisely exposure to full figure during face adjustment can be ensured, under face stable state, the quick and precisely exposure adjustment of regional area, suppresses the explosure flash phenomenon under face unsteady state simultaneously.
Please refer to Fig. 6, the structural representation of a kind of intelligent exposure system based on recognition of face provided in the embodiment of the present invention is provided.
As shown in Figure 6, the present embodiment provides a kind of intelligent exposure system based on recognition of face, the described intelligent exposure system based on recognition of face comprises: exposure scene type acquisition module, described exposure scene type acquisition module is used for according to face recognition algorithms, obtain exposure scene type, described exposure scene type comprises without face scene and has face scene; Face condition judgment module, described face condition judgment module is used for according to face motion state analytical method, and judge face state, described face state comprises stable state and non-steady state; Exposure parameter adjusting module, described exposure parameter adjusting module is used for according to exposure scene type and face state, adjustment exposure parameter, and described adjustment exposure parameter comprises selects exposure area, adjustment exposure weight and adjustment exposure to regulate the speed; Exposure parameter control module, described exposure parameter control module is used for regulating the speed according to described exposure area, described exposure weight and described exposure carrying out exposure parameter control.
Above-described embodiment of the present invention, does not form limiting the scope of the present invention.Any amendment done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
The above is only the specific embodiment of the present invention, those skilled in the art is understood or realizes the present invention.To be apparent to one skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (6)
1. based on an intelligent exposure method for recognition of face, it is characterized in that, the described intelligent exposure method based on recognition of face comprises:
According to face recognition algorithms, obtain exposure scene type, described exposure scene type comprises without face scene and has face scene;
According to face motion state analytical method, judge face state, described face state comprises stable state and non-steady state;
According to exposure scene type and face state, adjustment exposure parameter, described adjustment exposure parameter comprises selects exposure area, adjustment exposure weight and adjustment exposure to regulate the speed;
Regulate the speed according to described exposure area, described exposure weight and described exposure and carry out exposure parameter control.
2. the intelligent exposure method based on recognition of face according to claim 1, is characterized in that, described according to exposure scene type and face state, and adjustment exposure parameter comprises:
If described exposure scene is without face scene, then select full figure as exposure area;
If described exposure scene is for there being face scene, and is in stable state, then select face regional area as exposure area;
If described exposure scene is for there being face scene, and is in non-steady state, then select the expansion frame of face regional area and described face regional area as exposure area.
3. the intelligent exposure method based on recognition of face according to claim 2, is characterized in that, described face regional area is with described face recognition result real-time update.
4. the intelligent exposure method based on recognition of face according to claim 3, is characterized in that, described according to exposure scene type and face state, and adjustment exposure parameter comprises:
If described exposure scene is without face scene, then exposing weight adjusting is that centre is high, surrounding is low;
If described exposure scene is for there being face scene, and is in stable state, then exposing weight adjusting is that face regional area is the highest;
If described exposure scene is for there being face scene, and be in non-steady state, then exposing weight adjusting is that the direction of motion that face regional area and face motion state analysis result are predicted is the highest, other regions are 0, wherein, described height, described low and described most coca are according to camera use scenes and user's request setting.
5. the intelligent exposure method based on recognition of face according to claim 4, is characterized in that, described according to exposure scene type and face state, and adjustment exposure parameter comprises:
If described exposure scene is without face scene, then exposure is regulated the speed as rapid adjustment;
If described exposure scene is for there being face scene, and is in stable state, then exposure is regulated the speed as rapid adjustment;
If described exposure scene is for there being face scene, and is in non-steady state, then exposure is regulated the speed as adjustment or exposure locking at a slow speed.
6. based on an intelligent exposure system for recognition of face, it is characterized in that, the described intelligent exposure system based on recognition of face comprises:
Exposure scene type acquisition module, described exposure scene type acquisition module is used for according to face recognition algorithms, obtains exposure scene type, and described exposure scene type comprises without face scene and has face scene;
Face condition judgment module, described face condition judgment module is used for according to face motion state analytical method, and judge face state, described face state comprises stable state and non-steady state;
Exposure parameter adjusting module, described exposure parameter adjusting module is used for according to exposure scene type and face state, adjustment exposure parameter, and described adjustment exposure parameter comprises selects exposure area, adjustment exposure weight and adjustment exposure to regulate the speed;
Exposure parameter control module, described exposure parameter control module is used for regulating the speed according to described exposure area, described exposure weight and described exposure carrying out exposure parameter control.
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| CN106775424A (en) * | 2017-01-13 | 2017-05-31 | 维沃移动通信有限公司 | A kind of screenshotss processing method and mobile terminal |
| CN109191403A (en) * | 2018-09-07 | 2019-01-11 | Oppo广东移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
| CN109922275A (en) * | 2019-03-28 | 2019-06-21 | 苏州科达科技股份有限公司 | Self-adapting regulation method, device and a kind of capture apparatus of exposure parameter |
| CN109918993A (en) * | 2019-01-09 | 2019-06-21 | 杭州中威电子股份有限公司 | A kind of control method based on human face region exposure |
| WO2020007183A1 (en) * | 2018-07-04 | 2020-01-09 | 腾讯科技（深圳）有限公司 | Method and device for video data processing and storage medium |
| CN110710194A (en) * | 2019-08-30 | 2020-01-17 | 中新智擎科技有限公司 | Exposure method and device, camera module and electronic equipment |
| CN111131693A (en) * | 2019-11-07 | 2020-05-08 | 深圳市艾为智能有限公司 | Face image enhancement method based on multi-exposure face detection |
| CN112584089A (en) * | 2020-12-10 | 2021-03-30 | 浙江华创视讯科技有限公司 | Face brightness adjusting method and device, computer equipment and storage medium |
| CN112839183A (en) * | 2020-12-28 | 2021-05-25 | 杭州宇泛智能科技有限公司 | Environment self-adaptive face image recognition method |
| CN112911146A (en) * | 2021-01-27 | 2021-06-04 | 杭州寰宇微视科技有限公司 | Intelligent dimming method based on human face |
| CN113891009A (en) * | 2021-06-25 | 2022-01-04 | 荣耀终端有限公司 | Exposure adjusting method and related equipment |
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| JP4730553B2 (en) * | 2006-07-25 | 2011-07-20 | 富士フイルム株式会社 | Imaging apparatus and exposure control method |
| JP4274233B2 (en) * | 2006-11-30 | 2009-06-03 | ソニー株式会社 | Imaging apparatus, image processing apparatus, image processing method therefor, and program causing computer to execute the method |
| CN103702015B (en) * | 2013-12-20 | 2017-04-12 | 华南理工大学 | Exposure control method for human face image acquisition system under near-infrared condition |
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| CN106775424A (en) * | 2017-01-13 | 2017-05-31 | 维沃移动通信有限公司 | A kind of screenshotss processing method and mobile terminal |
| WO2020007183A1 (en) * | 2018-07-04 | 2020-01-09 | 腾讯科技（深圳）有限公司 | Method and device for video data processing and storage medium |
| US11461876B2 (en) | 2018-07-04 | 2022-10-04 | Tencent Technology (Shenzhen) Company Limited | Video data processing method and apparatus, and storage medium |
| CN109191403A (en) * | 2018-09-07 | 2019-01-11 | Oppo广东移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
| CN109918993B (en) * | 2019-01-09 | 2021-07-02 | 杭州中威电子股份有限公司 | Control method based on face area exposure |
| CN109918993A (en) * | 2019-01-09 | 2019-06-21 | 杭州中威电子股份有限公司 | A kind of control method based on human face region exposure |
| CN109922275A (en) * | 2019-03-28 | 2019-06-21 | 苏州科达科技股份有限公司 | Self-adapting regulation method, device and a kind of capture apparatus of exposure parameter |
| CN110710194A (en) * | 2019-08-30 | 2020-01-17 | 中新智擎科技有限公司 | Exposure method and device, camera module and electronic equipment |
| CN110710194B (en) * | 2019-08-30 | 2021-10-22 | 中新智擎科技有限公司 | Exposure method and device, camera module and electronic equipment |
| CN111131693B (en) * | 2019-11-07 | 2021-07-30 | 深圳市艾为智能有限公司 | Face image enhancement method based on multi-exposure face detection |
| CN111131693A (en) * | 2019-11-07 | 2020-05-08 | 深圳市艾为智能有限公司 | Face image enhancement method based on multi-exposure face detection |
| CN112584089B (en) * | 2020-12-10 | 2021-05-07 | 浙江华创视讯科技有限公司 | Face brightness adjusting method and device, computer equipment and storage medium |
| CN112584089A (en) * | 2020-12-10 | 2021-03-30 | 浙江华创视讯科技有限公司 | Face brightness adjusting method and device, computer equipment and storage medium |
| CN112839183A (en) * | 2020-12-28 | 2021-05-25 | 杭州宇泛智能科技有限公司 | Environment self-adaptive face image recognition method |
| CN112911146A (en) * | 2021-01-27 | 2021-06-04 | 杭州寰宇微视科技有限公司 | Intelligent dimming method based on human face |
| CN113891009A (en) * | 2021-06-25 | 2022-01-04 | 荣耀终端有限公司 | Exposure adjusting method and related equipment |
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