CN113673329A - 3D face information identification method and device based on big data - Google Patents
3D face information identification method and device based on big data Download PDFInfo
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- CN113673329A CN113673329A CN202110795383.6A CN202110795383A CN113673329A CN 113673329 A CN113673329 A CN 113673329A CN 202110795383 A CN202110795383 A CN 202110795383A CN 113673329 A CN113673329 A CN 113673329A
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Abstract
The invention discloses a 3D face information identification method and equipment based on big data, which relate to the technical field of face identification and comprise the steps of establishing data acquisition points, setting three groups of face information acquisition devices in each group of 3D face information identification equipment, carrying out 3D modeling storage on face information of each user through a processing system by taking each user as a unit, identifying face information of the user from three angles through the three groups of face information acquisition devices, respectively comparing the three groups of face information which are originally stored through the processing system, and then comparing the three groups of face information with called 3D model information. According to the invention, through image recognition at three angles and front-to-back comparison after 3D modeling, the accuracy of face information recognition is greatly improved, the safety of face recognition is improved, and the acquisition angle of the acquisition camera can be actually regulated and controlled according to the face position of a user, so that the accuracy of face information acquisition is further improved.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a 3D face information recognition method and device based on big data.
Background
Today, with the rapid development of computer technology and the highly developed degree of social informatization and networking, various fields put higher demands on rapid and effective automatic identity authentication technology, and biometric identification has been rapidly developed as a safe and reliable identity authentication technology in recent decades. As an important biometric technology, face recognition has higher collectability than other biometric methods such as iris, fingerprint, voice, and the like, is a friendly, fast, and easily accepted noninvasive recognition method, and is favored by people due to its advantages such as friendliness and convenience.
At present, the face recognition technology is widely applied to the fields of home security, enterprise and institution management, social management and the like step by step, the adopted face recognition technology is mostly 2D face recognition technology, the principle is mainly that face images are collected through a common camera, a mobile phone and the like, classification comparison is carried out in a system, and then a comparison result is output, however, when the situations of 'real person picture attack', 'video playback', 'mask attack' and the like are encountered based on the 2D face recognition technology, the problem that the face images are easily attacked by various targeted videos or images exists, the safety performance needs to be improved, and in the existing 3D recognition technology, simulation comparison is carried out only through three-dimensional modeling, facial detail comparison is lacked, and further the 3D recognition technology is not mature enough.
Disclosure of Invention
The invention aims to provide a 3D face information identification method and equipment based on big data, so as to solve the defects in the prior art.
In order to achieve the above purpose, the invention provides the following technical scheme: A3D face information identification method based on big data comprises the following steps:
establishing data acquisition points, establishing a plurality of 3D information acquisition points in a fixed area, such as a factory area, a school area or a community, and arranging 3D face information recognition equipment in the acquisition points;
secondly, collecting face information of the user, wherein three groups of face information collecting devices are arranged in each group of 3D face information recognition equipment, wherein the face information collection at three angles of the front, the left front and the right front is included, the user stands in front of the three groups of face information collecting devices at a nearby 3D information collecting point in an area, and the complete image information of the front face and two sides of the face of the user is collected respectively;
processing user face information, wherein the image information acquired by each 3D face information recognition device in the region is subjected to 3D modeling and identification storage on the face information of each user by using each user as a unit through a processing system, and simultaneously, the three groups of attached image information are identified corresponding to the corresponding 3D information, and then the three groups of image information of all users are respectively stored according to three acquisition angles;
step four, 3D face information identification, wherein when a user needs to be identified, the user stands in front of 3D face information identification equipment of a corresponding 3D information acquisition point, the face information of the user at three angles is identified through three groups of face information acquisition devices, the originally stored three groups of face information are respectively compared through a processing system, and similar image information in a database is found;
and fifthly, comparing the 3D face information, calling out the 3D model information of the users corresponding to the similar pictures respectively after finding out the similar image information in the database, carrying out 3D modeling on the three groups of face information collected at present, then comparing the three groups of face information with the called out 3D model information again, and accurately identifying the face information of the users.
Preferably, in the third step, when the user data is collected and stored, the user data and the face information are synchronously stored according to the user information grasped in the area or the personal key information manually input by the user, and when the user data is identified in the later stage, the corresponding personal information is synchronously called.
Preferably, the face image information collected each time the user performs face recognition is updated to the corresponding face image database, and the face image information updated last time is used as a comparison basis in each subsequent recognition.
The utility model provides a 3D face information identification equipment based on big data, includes the footboard, the support frame, its characterized in that are installed to the top of footboard: the top fixed mounting of support frame has the adjustable support cover, the outside fixedly connected with arc frame of adjustable support cover, people's face information collection system is including gathering the camera, one of them gather camera fixed mounting in the inboard middle part of arc frame, two in addition gather camera slidable mounting in the inboard both ends of arc frame.
Preferably, the top of two acquisition cameras located at the two ends of the arc-shaped frame is fixedly provided with a driving motor, the top of the arc-shaped frame is fixedly connected with an arc-shaped rack, and the output shaft end of the driving motor is provided with a gear meshed with the arc-shaped rack.
Preferably, the adjustable supporting sleeve is sleeved outside the supporting frame, and a set screw is arranged between the adjustable supporting sleeve and the supporting frame.
Preferably, a reflector is fixedly mounted outside each collecting camera.
In the technical scheme, the invention provides the following technical effects and advantages:
according to the invention, the plurality of 3D information acquisition points are arranged in the fixed area, so that the accuracy of face information identification is greatly improved according to the image identification of three angles and the front-back comparison after 3D modeling, the safety of face identification is improved, and the positions and angles of the acquisition cameras at two ends are adjustable, so that the acquisition angles of the acquisition cameras can be actually regulated and controlled according to the face positions of users in order to accurately acquire face information during identification, and the accuracy of face information acquisition is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic diagram of the overall structure of the face information recognition device of the present invention.
Description of reference numerals:
1. a pedal; 2. a support frame; 3. an adjustable support sleeve; 4. an arc-shaped frame; 5. collecting a camera; 6. an arc-shaped rack; 7. a drive motor; 8. a mirror.
Detailed Description
In order to make the technical solutions of the present invention better understood, those skilled in the art will now describe the present invention in further detail with reference to the accompanying drawings.
The invention provides a 3D face information identification method based on big data, which comprises the following steps:
establishing data acquisition points, establishing a plurality of 3D information acquisition points in a fixed area, such as a factory area, a school area or a community, and arranging 3D face information recognition equipment in the acquisition points;
secondly, collecting face information of the user, wherein three groups of face information collecting devices are arranged in each group of 3D face information recognition equipment, wherein the face information collection at three angles of the front, the left front and the right front is included, the user stands in front of the three groups of face information collecting devices at a nearby 3D information collecting point in an area, and the complete image information of the front face and two sides of the face of the user is collected respectively;
processing user face information, wherein the image information acquired by each 3D face information recognition device in the region is subjected to 3D modeling and identification storage on the face information of each user by using each user as a unit through a processing system, and simultaneously, the three groups of attached image information are identified corresponding to the corresponding 3D information, and then the three groups of image information of all users are respectively stored according to three acquisition angles;
step four, 3D face information identification, wherein when a user needs to be identified, the user stands in front of 3D face information identification equipment of a corresponding 3D information acquisition point, the face information of the user at three angles is identified through three groups of face information acquisition devices, the originally stored three groups of face information are respectively compared through a processing system, and similar image information in a database is found;
and fifthly, comparing the 3D face information, calling out the 3D model information of the users corresponding to the similar pictures respectively after finding out the similar image information in the database, carrying out 3D modeling on the three groups of face information collected at present, then comparing the three groups of face information with the called out 3D model information again, and accurately identifying the face information of the users.
Further, in the above technical solution, in the third step, when the user data is collected and stored, the user information grasped in the area or the user manually inputs the personal key information, and the personal key information is stored synchronously with the face information, and when the user data is identified in the later stage, the corresponding personal information is synchronously called.
Further, in the above technical solution, each time the user performs face recognition, the collected face image information is updated to the corresponding face image database, and then each time the user performs recognition, the face image information updated last time is used as a comparison basis.
The utility model provides a 3D face information identification equipment based on big data, includes footboard 1, support frame 2, its characterized in that are installed to the top of footboard 1: the top fixed mounting of support frame 2 has adjustable support cover 3, the outside fixedly connected with arc frame 4 of adjustable support cover 3, face information collection device is including gathering camera 5, one of them gather camera 5 fixed mounting in the middle part of arc 4 inboards, two in addition gather camera 5 slidable mounting in the both ends of arc 4 inboards.
Further, in the above technical scheme, driving motors 7 are fixedly mounted at the tops of the two acquisition cameras 5 at the two ends of the arc-shaped frame 4, an arc-shaped rack 6 is fixedly connected to the top of the arc-shaped frame 4, and gears meshed with the arc-shaped rack 6 are mounted at the output shaft ends of the driving motors 7.
Further, in the above technical solution, the adjustable support sleeve 3 is sleeved outside the support frame 2, and a set screw is arranged between the adjustable support sleeve 3 and the support frame 2.
Further, in the above technical solution, a reflective mirror 8 is fixedly installed outside each of the collecting cameras 5;
the implementation mode is specifically as follows: a plurality of 3D information acquisition points are arranged in a fixed area, identification equipment with three groups of acquisition cameras 5 is arranged in the acquisition points, the acquisition equipment is supported by an arc-shaped frame 4, so that the acquisition cameras 5 positioned at two ends of the arc-shaped frame 4 are meshed with an arc-shaped rack 6 through output shaft end gears of a driving motor 7, the actual positions and the acquisition angles of the acquisition cameras 5 at two sides can be controlled, complete image information of the front face and two sides of the face of a user is respectively acquired, the face information of each user is subjected to 3D modeling storage, the attached three groups of image information are respectively stored, during identification, three groups of face images are identified through the three groups of acquisition cameras 5, are respectively compared, the three groups of face information which are acquired are subjected to 3D modeling and are compared with the called 3D model information again, and the face information of the user is accurately identified, thereby according to the image recognition of three angles and the preceding back contrast after the 3D modeling, the accuracy of face information recognition has greatly been improved, face recognition's security has been improved, and because the position and the angularly adjustable of the collection camera 5 that are located both ends to during the messenger discerns, in order to gather facial information more accurately, can be according to the actual collection angle of regulation and control collection camera 5 of user's facial position, thereby further improved the accuracy nature of face information acquisition.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that the described embodiments may be modified in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and should not be construed as limiting the scope of the invention.
Claims (7)
1. A3D face information identification method based on big data is characterized by comprising the following steps:
establishing data acquisition points, establishing a plurality of 3D information acquisition points in a fixed area, such as a factory area, a school area or a community, and arranging 3D face information recognition equipment in the acquisition points;
secondly, collecting face information of the user, wherein three groups of face information collecting devices are arranged in each group of 3D face information recognition equipment, wherein the face information collection at three angles of the front, the left front and the right front is included, the user stands in front of the three groups of face information collecting devices at a nearby 3D information collecting point in an area, and the complete image information of the front face and two sides of the face of the user is collected respectively;
processing user face information, wherein the image information acquired by each 3D face information recognition device in the region is subjected to 3D modeling and identification storage on the face information of each user by using each user as a unit through a processing system, and simultaneously, the three groups of attached image information are identified corresponding to the corresponding 3D information, and then the three groups of image information of all users are respectively stored according to three acquisition angles;
step four, 3D face information identification, wherein when a user needs to be identified, the user stands in front of 3D face information identification equipment of a corresponding 3D information acquisition point, the face information of the user at three angles is identified through three groups of face information acquisition devices, the originally stored three groups of face information are respectively compared through a processing system, and similar image information in a database is found;
and fifthly, comparing the 3D face information, calling out the 3D model information of the users corresponding to the similar pictures respectively after finding out the similar image information in the database, carrying out 3D modeling on the three groups of face information collected at present, then comparing the three groups of face information with the called out 3D model information again, and accurately identifying the face information of the users.
2. The big data-based 3D face information recognition method according to claim 1, wherein: and in the third step, when the user data is collected and stored, the user data and the face information are synchronously stored according to the user information mastered in the area or the personal key information manually input by the user, and when the user data is identified in the later period, the corresponding personal information is synchronously called.
3. The big data-based 3D face information recognition method according to claim 1, wherein: the face image information collected when the user performs face recognition each time is updated to the corresponding face image database, and the face image information updated for the last time is used as a comparison basis in each subsequent recognition.
4. The device with the big data based 3D face information recognition method of claim 1 comprises a pedal (1), a support frame (2) is installed on the top of the pedal (1), and the device is characterized in that: the top fixed mounting of support frame (2) has adjustable support cover (3), the outside fixedly connected with arc frame (4) of adjustable support cover (3), people's face information collection system is including gathering camera (5), one of them gather camera (5) fixed mounting in the middle part of arc frame (4) inboard, two in addition gather camera (5) slidable mounting in the both ends of arc frame (4) inboard.
5. The big data-based 3D face information recognition device according to claim 4, wherein: the equal fixed mounting in top that is located two collection cameras (5) at arc frame (4) both ends has driving motor (7), the top fixedly connected with arc rack (6) of arc frame (4), the gear with arc rack (6) intermeshing is installed to the output shaft end of driving motor (7).
6. The big data-based 3D face information recognition device according to claim 4, wherein: the adjustable supporting sleeve (3) is sleeved outside the supporting frame (2), and a set screw is arranged between the adjustable supporting sleeve (3) and the supporting frame (2).
7. The big data-based 3D face information recognition device according to claim 4, wherein: and a reflector (8) is fixedly arranged outside each acquisition camera (5).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110795383.6A CN113673329A (en) | 2021-07-14 | 2021-07-14 | 3D face information identification method and device based on big data |
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| CN202110795383.6A CN113673329A (en) | 2021-07-14 | 2021-07-14 | 3D face information identification method and device based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114241590A (en) * | 2022-02-28 | 2022-03-25 | 深圳前海清正科技有限公司 | Self-learning face recognition terminal |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114241590A (en) * | 2022-02-28 | 2022-03-25 | 深圳前海清正科技有限公司 | Self-learning face recognition terminal |
| CN114241590B (en) * | 2022-02-28 | 2022-07-22 | 深圳前海清正科技有限公司 | Self-learning face recognition terminal |
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