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CN102262727A - Method for monitoring face image quality at client acquisition terminal in real time - Google Patents

Method for monitoring face image quality at client acquisition terminal in real time Download PDF

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Publication number
CN102262727A
CN102262727A CN 201110171916 CN201110171916A CN102262727A CN 102262727 A CN102262727 A CN 102262727A CN 201110171916 CN201110171916 CN 201110171916 CN 201110171916 A CN201110171916 A CN 201110171916A CN 102262727 A CN102262727 A CN 102262727A
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China
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face
image
people
client
human face
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CN 201110171916
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Chinese (zh)
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杨秀坤
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CHANGZHOU RUICHI ELECTRONIC TECHNOLOGY CO LTD
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CHANGZHOU RUICHI ELECTRONIC TECHNOLOGY CO LTD
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Priority to CN 201110171916 priority Critical patent/CN102262727A/en
Publication of CN102262727A publication Critical patent/CN102262727A/en
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Abstract

The invention discloses a method for monitoring the face image quality at a client acquisition terminal in real time, comprising the following steps: step 1, collecting face images; step 2, detecting faces, that is, a face detection positioning system is used to automatically detect and segment the exact positions of the faces in the face images which are acquired by the client acquisition terminal; and step 3, comprehensively estimating the face quality, and using a face image quality detection system to intelligently prompt the acquisition process of the face images at the client end and intelligently monitor the image quality in real time. The method is utilized to improve the subsequent image comparison accuracy effectively and reduce the false alarm rate, thus ensuring the reliability of identity information identification, thereby realizing the real practice of an intelligent monitoring system based on face identification.

Description

Client's acquisition terminal quality of human face image method for real-time monitoring
Technical field
The present invention relates to identity identification technical field, be specifically related to a kind of client's acquisition terminal quality of human face image method for real-time monitoring.
Background technology
In field of biological recognition, face recognition technology (Face Recognition Technology) causes increasing industry member researchist's concern gradually, in recent years, growing along with the develop rapidly of correlation technique and actual demand, recognition of face has broad application prospects in a lot of fields.For example: face recognition technology is used for judicial domain as supplementary means, carries out authentication, criminal's identification etc.; It also has many potential application commercial, as aspects such as the identification of bank card, security identification system, videophone, medical science, file administration, hotel management, video conference man-machine interactive systems, not only can improve the efficient of society's operation, also can strengthen the security of citizen's daily life greatly, so face recognition technology has become a research focus of present mode identification and artificial intelligence field.
But facial image is as a kind of comparatively complicated pattern, is easy to be subjected to illumination, attitude, blocks, the influence of appearance adjunct and image capture device.FRVT (Face Recognition Vendor Test) shows the result that the facial image from actual life carries out large scale test: the recognition accuracy of face identification system descends with the interference of above-mentioned situation to picture quality
In recent years, technology such as bio-identification begin to show up prominently in hotel's intellectuality, and the Nine Zero hotel that is positioned at boston, u.s.a just takes the lead in having used the iris biological identification technology, after client comes into hall, as long as before the self-aided terminal machine, just can check in, and can free in and out the room.But owing to equipment and technical fee cost that iris recognition technology is required are high, the integrated service industries such as hotel in China also are difficult to promote at present.In addition, the disclosed offender of China database of pursuing and capturing an escaped prisoner includes only right people's face and finger print data office at present, does not still contain iris database on a large scale.
At present, the producer that China is engaged in the biometrics identification technology product development reaches more than 200 families, these face identification system majorities be by facial image is gathered with pre-service after, directly carry out feature extraction and with database in the image stored compare, draw the person's of being taken identity information then according to matching result.Existing face recognition technology, for the facial image that limits under certain condition, for example, the facial image that front face, illumination condition are good, absorb under the have no occluder body, the reflective situation of glasses-free, its discrimination can satisfy the requirement of the low-end applications (as gate inhibition, work attendance etc.) of some civil areas.But because facial image is before the face template with background data base compares, the facial image to the client collection does not carry out real-time quality monitoring, the program of analyzing and handling, make product not satisfactory aspect stable, mainly show illumination, expression, attitude, ornament, the variation of conditions such as distance is very responsive, when some condition changes, recognition effect can reduce greatly, especially after the database scale enlarges, automatic recognition system can't search out the identification result exactly under the situation of rationally controlling false alarm rate, even cause the undesirable to escape inspection, limited public safety to a great extent and taken precautions against the universal and large-scale application of field based on the intelligent monitor system of recognition of face.
Summary of the invention
The object of the present invention is to provide a kind of client's collection terminal quality of human face image method for real-time monitoring, by quality testing of the present invention and control, can effectively improve follow-up image comparison accuracy, and reduction false alarm rate (False Alarm Rate), thereby guarantee the reliability of smart identity information identification system, the distance that exists between the discrimination level of shortening prior art and the public safety-security area practical application request makes the intelligent monitor system based on recognition of face reach real practicality at safety-security area.
The technical scheme that realizes the object of the invention is as follows:
Client's acquisition terminal quality of human face image method for real-time monitoring may further comprise the steps:
Step 1, the client terminal man face image acquiring;
Step 2, people's face detect, by people's face detection and location system to detecting and be partitioned into the definite position of people's face in the facial image that obtains automatically;
The quality assessment of step 3 people face is carried out intelligent prompt and real-time image quality monitoring by the quality of human face image detection system to the gatherer process of facial image.
Adopted such scheme, by client real-time image of the present invention quality monitoring and evaluation, guaranteed the expression accuracy of this vitals unique point of eyes in people's face to a great extent, greatly reduce because glasses reflection, nictation, the identification error that abnormal conditions caused when man face image acquiring such as closing one's eyes, effectively improve the quality that client is gathered image, in time filtering noise disturbs big image, reduce false alarm rate, modeling warehouse-in mistake step on rate (do not reach when referring to gather people's face automatically normal quality standard requires but system still generates the ratio that the data of template warehouse-in account for total image acquisition amount) be lower than 100,000/, thereby make intelligent monitor system reach real practicality based on recognition of face.In addition, also the image of collection terminal by the picture quality detection threshold carried out extract minutiae by the present invention, make up three-dimensional face model, the template in last and the known face database compares identification by multistage layer matching strategy, be taken people's relevant identity information of checking.Adopt multispectral and multi-resolution image integration technology in the recognizer, make full use of multiple image in correlativity on the space-time and the complementarity on the information, the image that obtains behind feasible the fusion has more comprehensively, describes clearly face characteristic, the characteristics of image that obtains behind feasible the fusion has more comprehensively, describes clearly face characteristic, and improve follow-up image comparison accuracy rate, guarantee the degree of reliability of identity information identification.
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
Description of drawings
Fig. 1 is a system construction drawing of the present invention;
Fig. 2 is the process flow diagram of detection of the present invention and quality evaluating method;
Embodiment
With reference to Fig. 1, client's acquisition terminal quality of human face image method for real-time monitoring of the present invention may further comprise the steps:
Step 1 is gathered facial image by image capturing system 101, and image capturing system 101 can be selected IP Camera, built-in computer camera, near infrared camera, three-dimensional camera for use, or reads the instrument merging with China second-generation identity card and use.
Step 2 goes out the definite position of people's face by the image segmentation of 102 pairs of collections of people's face detection and location system, and wherein to detect be the definite position of detecting and be partitioned into people's face by people's face detection and location system from the facial image that obtains automatically to facial image.Cutting apart of the definite position of people's face is to seek on the entire image of input and mark off human face region, and detects the accurate coordinate position of eyes, thereby prepares for follow-up graphical analysis and identifying.
Step 3, the gatherer process of 103 pairs of facial images of client quality of human face image real-time monitoring system are carried out intelligent prompt and the control of real-time image quality monitoring.Referring to Fig. 2, the quality testing of people's face is described in detail:
Step 31, whether detection exists glasses reflection or wears sunglasses, if testing result then points out detected personnel to adjust or the excision glasses for being, if testing result is not, then enters step 32.Till the threshold value that images acquired is provided with by system.
Step 32, whether detect face's organ and be blocked, whether promptly detected personnel exist shade to cover face's critical positions phenomenon of (comprising eye), if exist, then point out detected personnel to adjust cap position or excision cap, till images acquired is passed through system thresholds.If testing result then enters step 33 for not.
Step 33, detect human face posture deflection whether excessively and whether have nictation, close one's eyes, light is strong excessively, shade blocks, camera is provided with mistake, guest's facial pose yawing moment whether have spend above 40 more than.If detected personnel's adjustment for being, is then adjusted or pointed out to testing result by system.When if the image capturing system human face posture exists 40 to spend following deflection, then by the contrast between the pure three-dimensional face, promptly take pictures by multi-angle, system makes up human face three-dimensional model to be identified automatically, and compares identification with three-dimensional model in the known face database by certain matching strategy.For reducing the influence of 40 degree deflection human face postures, adopt following two kinds of methods:
First, if when the image capturing system human face posture exists 40 to spend following deflection,, promptly take pictures by multi-angle by the contrast between the pure three-dimensional, system automatically makes up human face three-dimensional model to be identified, compares identification with three-dimensional model in the known face database by certain matching strategy.This three-dimensional face recognition technology will have the Infrared projection of structure and people's face, generate facial three-dimensional face template, and with database in the 3D face template stored compare.
Second, if there is the following deflection of 40 degree in the image capturing system human face posture, unique point according to the people's face two dimensional image that obtains, calculate the attitude deflection angle of people's face, the three-dimensional model of reconstruct in the known face database is projected on the two dimensional surface by same attitude deflection angle, obtain corresponding two dimensional image, again itself and original two-dimension human face image are carried out coupling identification on the two dimensional character by certain matching strategy.
Quality testing by step 3, guaranteed the expression accuracy of this vitals unique point of eyes in people's face to a great extent, greatly reduce because glasses reflection, nictation, the identification error that abnormal conditions caused when man face image acquiring such as closing one's eyes, improve client and gather the quality of image, filtering noise disturbs big image in time, thereby reduction false alarm rate, modeling warehouse-in mistake step on rate (do not reach when referring to gather people's face automatically normal quality standard requires but system still generates the ratio that the data of template warehouse-in account for total image acquisition amount) be lower than 100,000/, make the identification of people's face intelligence coupling can reach the real commercial level of using.In addition, also the facial image of collection terminal by the picture quality detection threshold carried out extract minutiae by step 2, make up three-dimensional face model, the known face template that generates in last and the background data base compares identification by multistage layer matching strategy, verifies the people's that is taken relevant identity information.Adopt multispectral and multi-resolution image integration technology in the recognizer, make full use of multiple image in correlativity on the space-time and the complementarity on the information, the image that obtains behind feasible the fusion has more comprehensively, describes clearly face characteristic.

Claims (5)

1. client's acquisition terminal quality of human face image method for real-time monitoring is characterized in that, may further comprise the steps:
Step 1, the client terminal man face image acquiring;
Step 2, people's face detect, by people's face detection and location system to detecting and be partitioned into the definite position of people's face in the facial image that obtains automatically;
The quality assessment of step 3 people face is carried out intelligent prompt and real-time image quality monitoring by the quality of human face image detection system to the gatherer process of facial image.
2. client's acquisition terminal quality of human face image method for real-time monitoring according to claim 1, it is characterized in that, the definite position that is partitioned into people's face in the described step 2 is to seek on the view picture facial image of input and mark off human face region, and detects the accurate coordinate position of eyes.
3. client's acquisition terminal quality of human face image method for real-time monitoring according to claim 1 is characterized in that, people's face quality assessment of described step 3 may further comprise the steps:
Step 31 detects the situation that whether is had glasses reflection or wear sunglasses by acquisition target, if testing result then points out detected personnel to adjust or the excision glasses for being, for not, then enters step 32 as if testing result;
Whether step 32 detects face's organ and is blocked, if testing result then points out detected personnel to adjust or the excision shelter for being, for not, then enters step 33 as if testing result;
Step 33, whether detect human face posture deflection surpasses more than 40 degree, and whether have nictation, close one's eyes, light is strong excessively, shade blocks, camera is provided with wrong situation, if testing result for being, is then adjusted by system or point out detected personnel to be adjusted accordingly.
4. client's acquisition terminal quality of human face image method for real-time monitoring according to claim 3 is if the facial image human face posture of gathering exists 40 degree with interior deflection, then in the step 33 by the contrast between the pure three-dimensional, be that system takes by multi-angle, automatically make up detected person's human face three-dimensional model, compare identification by matching strategy with three-dimensional model in the known person face template base.
5. client's acquisition terminal quality of human face image method for real-time monitoring according to claim 3, it is characterized in that, if the facial image human face posture of gathering exists 40 degree with interior deflection, then in the step 33 according to the unique point of the people's face two dimensional image that is obtained, the attitude that calculates people's face changes angle, three-dimensional model in the known face database of backstage generation is projected on the two dimensional surface by same attitude deflection angle, obtain corresponding two dimensional image.
CN 201110171916 2011-06-24 2011-06-24 Method for monitoring face image quality at client acquisition terminal in real time Pending CN102262727A (en)

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Cited By (27)

* Cited by examiner, † Cited by third party
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CN102608928A (en) * 2012-01-13 2012-07-25 浙江大学 Embedded vision measurement and control system based on Ethernet and measurement and control method of embedded vision measurement and control system
CN103093210A (en) * 2013-01-24 2013-05-08 北京天诚盛业科技有限公司 Method and device for glasses identification in face identification
CN103533308A (en) * 2013-10-14 2014-01-22 任明和 Multi-point integrated automatic monitoring system
CN103561231A (en) * 2013-10-14 2014-02-05 任明和 Method for achieving multi-point integration monitoring based on mobile terminal
CN104182975A (en) * 2014-08-11 2014-12-03 福州瑞芯微电子有限公司 Photographing device and method capable of automatically filtering picture with poor effect
CN104573632A (en) * 2014-12-15 2015-04-29 苏州福丰科技有限公司 Three-dimensional face identification method for depositing and withdrawing money in bank
CN104932867A (en) * 2014-03-17 2015-09-23 联想(北京)有限公司 Information processing method, device, and system
CN104956377A (en) * 2013-02-28 2015-09-30 联邦印刷有限公司 Device for capturing person-specific data
CN105335473A (en) * 2015-09-30 2016-02-17 小米科技有限责任公司 Method and device for playing picture
CN105550637A (en) * 2015-12-04 2016-05-04 小米科技有限责任公司 Contour point positioning method and contour point positioning device
CN105933607A (en) * 2016-05-26 2016-09-07 维沃移动通信有限公司 Photographing effect adjusting method of mobile terminal and mobile terminal
CN106295585A (en) * 2016-08-16 2017-01-04 深圳云天励飞技术有限公司 A kind of filtration system of selection taking into account real-time and face quality and system
WO2017016452A1 (en) * 2015-07-30 2017-02-02 中兴通讯股份有限公司 Picture processing apparatus and method therefor
CN107590807A (en) * 2017-09-29 2018-01-16 百度在线网络技术(北京)有限公司 Method and apparatus for detection image quality
CN107766824A (en) * 2017-10-27 2018-03-06 广东欧珀移动通信有限公司 Face recognition method, mobile terminal, and computer-readable storage medium
CN107832668A (en) * 2017-10-10 2018-03-23 广东欧珀移动通信有限公司 Facial image acquisition method and related equipment
CN108090908A (en) * 2017-12-07 2018-05-29 深圳云天励飞技术有限公司 Image partition method, device, terminal and storage medium
CN108629260A (en) * 2017-03-17 2018-10-09 北京旷视科技有限公司 Live body verification method and device and storage medium
CN109063604A (en) * 2018-07-16 2018-12-21 阿里巴巴集团控股有限公司 A kind of face identification method and terminal device
CN110674766A (en) * 2019-09-28 2020-01-10 武汉飞创交通工程有限公司 Vehicle detection system of ETC lane
CN111126098A (en) * 2019-12-24 2020-05-08 京东数字科技控股有限公司 Certificate image acquisition method, device, equipment and storage medium
WO2020094088A1 (en) * 2018-11-07 2020-05-14 杭州海康威视数字技术股份有限公司 Image capturing method, monitoring camera, and monitoring system
CN111259815A (en) * 2020-01-17 2020-06-09 厦门中控智慧信息技术有限公司 Method, system, equipment and medium for evaluating quality of face image
CN112150692A (en) * 2020-10-14 2020-12-29 吴喜庆 Access control method and system based on artificial intelligence
CN112183417A (en) * 2020-09-30 2021-01-05 重庆天智慧启科技有限公司 Business consultant service capability evaluation system and method
CN112465999A (en) * 2020-12-29 2021-03-09 天津科技大学 Attendance checking equipment and attendance checking system based on face and finger vein fusion recognition
CN114360006A (en) * 2021-12-20 2022-04-15 南京爱特邦科技有限公司 Face recognition system and detection method thereof

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CN102608928A (en) * 2012-01-13 2012-07-25 浙江大学 Embedded vision measurement and control system based on Ethernet and measurement and control method of embedded vision measurement and control system
CN103093210A (en) * 2013-01-24 2013-05-08 北京天诚盛业科技有限公司 Method and device for glasses identification in face identification
CN103093210B (en) * 2013-01-24 2017-02-08 北京天诚盛业科技有限公司 Method and device for glasses identification in face identification
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CN109063604A (en) * 2018-07-16 2018-12-21 阿里巴巴集团控股有限公司 A kind of face identification method and terminal device
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WO2020094088A1 (en) * 2018-11-07 2020-05-14 杭州海康威视数字技术股份有限公司 Image capturing method, monitoring camera, and monitoring system
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CN110674766A (en) * 2019-09-28 2020-01-10 武汉飞创交通工程有限公司 Vehicle detection system of ETC lane
CN111126098A (en) * 2019-12-24 2020-05-08 京东数字科技控股有限公司 Certificate image acquisition method, device, equipment and storage medium
CN111126098B (en) * 2019-12-24 2023-11-07 京东科技控股股份有限公司 Certificate image acquisition method, device, equipment and storage medium
CN111259815A (en) * 2020-01-17 2020-06-09 厦门中控智慧信息技术有限公司 Method, system, equipment and medium for evaluating quality of face image
CN112183417A (en) * 2020-09-30 2021-01-05 重庆天智慧启科技有限公司 Business consultant service capability evaluation system and method
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