CN104392220A - Three-dimensional face recognition airport security inspection method based on cloud server - Google Patents
Three-dimensional face recognition airport security inspection method based on cloud server Download PDFInfo
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- CN104392220A CN104392220A CN201410694811.6A CN201410694811A CN104392220A CN 104392220 A CN104392220 A CN 104392220A CN 201410694811 A CN201410694811 A CN 201410694811A CN 104392220 A CN104392220 A CN 104392220A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/169—Holistic features and representations, i.e. based on the facial image taken as a whole
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
- G06V20/653—Three-dimensional objects by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces
Abstract
The invention discloses a three-dimensional face recognition airport security inspection method based on cloud server. The method comprises the following steps: S01, creating a face recognition standard library by a cloud server; S02, establishing a network connection between an airport image acquisition terminal and the cloud server; S03, receiving, by the cloud server, a three-dimensional face image and an identity authentication request which are sent by the image acquisition terminal; S04, pre-processing the three-dimensional face image; S05, extracting the three-dimensional face, extracting the head and the shoulder from an original three-dimensional shaded surface; S06, positioning facial landmark points; S07, registering the three-dimensional face; and S08, returning, by the cloud server, the result of identity authentication to an airport identity recognition terminal. The three-dimensional face recognition airport security inspection method based on cloud server is highly efficient in computing allocation; data information on the cloud server can be quickly searched; the computing and the registering are processed on the cloud server; therefore the method is high in efficiency, quick in response, and able to be popularized.
Description
Technical field
The invention belongs to airport intelligence field of safety check, particularly relate to a kind of three-dimensional face identification airport safety inspection method based on Cloud Server.
Background technology
At present, airport security is examined by means of only ID (identity number) card information and is seized the opportunity personal information, can not determine whether that seizing the opportunity on people and I.D. is same people accurately, security performance is low, prior art, three-dimensional face identification generally carries out image zooming-out, calculation of complex based on neural network or mathematics prior probability, operation time is long, can not apply in intelligent payment technical field.
Summary of the invention
In order to solve prior art problem, the invention provides a kind of three-dimensional face identification airport safety inspection method based on Cloud Server, calculating allocative efficiency is high, the data message on Cloud Server can be retrieved fast, calculate and be registered in cloud server end and carry out, efficiency is high, soon corresponding, can apply.
The technical solution used in the present invention is: based on the three-dimensional face identification airport safety inspection method of Cloud Server, comprise the following steps,
S01, Cloud Server sets up recognition of face java standard library;
S02, Airport Images acquisition terminal and Cloud Server are set up network and are connected, and three-dimensional human face scanning instrument obtains face 3-D view;
S03, the three-dimensional face images that cloud server image acquisition terminal sends and ID authentication request;
Step S03, after the three-dimensional face images that cloud server image acquisition terminal sends, three-dimensional face images is converted to the computing unit that a series of data are passed to Cloud Server, described computing unit carries out three-dimensional face images pre-service, the extraction of three-dimensional face and three-dimensional face registration.
S04, three-dimensional face images pre-service: noise preprocess method is carried out to three-dimensional face images;
The pre-service of step S04 three-dimensional face images specifically comprises the following steps:
(401) denoising is carried out to three-dimensional face images, adopt the triangular surface interpolation method based on cloud data, surface fitting and optimal reconfiguration are carried out to three-dimensional face images cloud data;
(402) use the level and smooth and Taubin method of Laplce to the smoothing process of model;
(403) mesh segmentation is carried out and attitude normalized to facial image, obtain three-dimensional face model.
S05, the extraction of three-dimensional face, isolates head and shoulder from initial three-dimensional curved surface;
Step S05 specifically comprises the following steps:
(501) from initial three-dimensional curved surface, isolate head and shoulder, use PCA method to obtain the estimation of attitude, remove shoulder regions;
(502) grid clipping: face is transformed into frontal state by the pre-method for registering based on monumented point, then uses a clipping rectangle face in XOY plane.
S06, face's sign location;
Step S06 specifically comprises the following steps:
(601) two inner eye corners, two tail of the eyes and prenasales are located;
(602) carry out virtual borderlines, obtain the coordinate position of five monumented points (two inner eye corners, two tail of the eyes and prenasales);
(603) based on the point positioning method of continuous Shape Index and geometrical constraint, based on the three-dimensional data of triangle gridding form, by neighborhood of a point matching quadric surface, calculate Shape Index, obtain robust features;
(604) by geometrical constraint, the sign location that attitude is irrelevant is realized.
S07, three-dimensional face registration;
Step S07 specifically comprises the following steps: Cloud Server retrieves the face master sample in described recognition of face java standard library, and the monumented point behind step of registration S06 location, realizes the rough registration based on monumented point; When three-dimensional face images mark region is lost, when monumented point cannot stablize extraction, carry out three-dimensional face registration by the rough registration method based on Principal Axes Analysis.
S08, the result of authentication is returned airport identity recognition terminal by Cloud Server.
Compared with prior art, beneficial effect of the present invention comprises:
The invention provides a kind of three-dimensional face identification airport safety inspection method based on Cloud Server, calculate allocative efficiency high, the data message on Cloud Server can be retrieved fast, calculate and be registered in cloud server end and carry out, efficiency is high, soon corresponding, can apply.
Embodiment
Below in conjunction with specific embodiment, the present invention is further described.
Based on the three-dimensional face identification airport safety inspection method of Cloud Server, comprise the following steps,
S01, Cloud Server sets up recognition of face java standard library;
S02, Airport Images acquisition terminal and Cloud Server are set up network and are connected, and three-dimensional human face scanning instrument obtains face 3-D view;
S03, the three-dimensional face images that cloud server image acquisition terminal sends and ID authentication request;
Step S03, after the three-dimensional face images that cloud server image acquisition terminal sends, three-dimensional face images is converted to the computing unit that a series of data are passed to Cloud Server, described computing unit carries out three-dimensional face images pre-service, the extraction of three-dimensional face and three-dimensional face registration.
S04, three-dimensional face images pre-service: noise preprocess method is carried out to three-dimensional face images;
The pre-service of step S04 three-dimensional face images specifically comprises the following steps:
(401) denoising is carried out to three-dimensional face images, adopt the triangular surface interpolation method based on cloud data, surface fitting and optimal reconfiguration are carried out to three-dimensional face images cloud data;
(402) use the level and smooth and Taubin method of Laplce to the smoothing process of model;
(403) mesh segmentation is carried out and attitude normalized to facial image, obtain three-dimensional face model.
S05, the extraction of three-dimensional face, isolates head and shoulder from initial three-dimensional curved surface;
Step S05 specifically comprises the following steps:
(501) from initial three-dimensional curved surface, isolate head and shoulder, use PCA method to obtain the estimation of attitude, remove shoulder regions;
(502) grid clipping: face is transformed into frontal state by the pre-method for registering based on monumented point, then uses a clipping rectangle face in XOY plane.
S06, face's sign location;
Step S06 specifically comprises the following steps:
(601) two inner eye corners, two tail of the eyes and prenasales are located;
(602) carry out virtual borderlines, obtain the coordinate position of five monumented points (two inner eye corners, two tail of the eyes and prenasales);
(603) based on the point positioning method of continuous Shape Index and geometrical constraint, based on the three-dimensional data of triangle gridding form, by neighborhood of a point matching quadric surface, calculate Shape Index, obtain robust features;
(604) by geometrical constraint, the sign location that attitude is irrelevant is realized.
S07, three-dimensional face registration;
Step S07 specifically comprises the following steps: Cloud Server retrieves the face master sample in described recognition of face java standard library, and the monumented point behind step of registration S06 location, realizes the rough registration based on monumented point; When three-dimensional face images mark region is lost, when monumented point cannot stablize extraction, carry out three-dimensional face registration by the rough registration method based on Principal Axes Analysis.
S08, the result of authentication is returned airport identity recognition terminal by Cloud Server.
Below be only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (7)
1., based on the three-dimensional face identification airport safety inspection method of Cloud Server, it is characterized in that, comprise the following steps,
S01, Cloud Server sets up recognition of face java standard library;
S02, Airport Images acquisition terminal and Cloud Server are set up network and are connected, and three-dimensional human face scanning instrument obtains face 3-D view;
S03, the three-dimensional face images that cloud server image acquisition terminal sends and ID authentication request;
S04, three-dimensional face images pre-service: noise preprocess method is carried out to three-dimensional face images;
S05, the extraction of three-dimensional face, isolates head and shoulder from initial three-dimensional curved surface;
S06, face's sign location;
S07, three-dimensional face registration;
S08, the result of authentication is returned airport identity recognition terminal by Cloud Server.
2. the three-dimensional face identification airport safety inspection method based on Cloud Server according to claim 1, is characterized in that,
Step S03, after the three-dimensional face images that cloud server image acquisition terminal sends, three-dimensional face images is converted to the computing unit that a series of data are passed to Cloud Server, described computing unit carries out three-dimensional face images pre-service, the extraction of three-dimensional face and three-dimensional face registration.
3. the three-dimensional face identification airport safety inspection method based on Cloud Server according to claim 1, is characterized in that,
The pre-service of step S04 three-dimensional face images specifically comprises the following steps:
(401) denoising is carried out to three-dimensional face images, adopt the triangular surface interpolation method based on cloud data, surface fitting and optimal reconfiguration are carried out to three-dimensional face images cloud data;
(402) use the level and smooth and Taubin method of Laplce to the smoothing process of model;
(403) mesh segmentation is carried out and attitude normalized to facial image, obtain three-dimensional face model.
4. the three-dimensional face identification airport safety inspection method based on Cloud Server according to claim 1, is characterized in that,
Step S05 specifically comprises the following steps:
(501) from initial three-dimensional curved surface, isolate head and shoulder, use PCA method to obtain the estimation of attitude, remove shoulder regions;
(502) grid clipping: face is transformed into frontal state by the pre-method for registering based on monumented point, then uses a clipping rectangle face in XOY plane.
5. the three-dimensional face identification airport safety inspection method based on Cloud Server according to claim 1, is characterized in that,
Step S06 specifically comprises the following steps:
(601) two inner eye corners, two tail of the eyes and prenasales are located;
(602) carry out virtual borderlines, obtain the coordinate position of five monumented points;
(603) based on the point positioning method of continuous Shape Index and geometrical constraint, based on the three-dimensional data of triangle gridding form, by neighborhood of a point matching quadric surface, calculate Shape Index, obtain robust features;
(604) by geometrical constraint, the sign location that attitude is irrelevant is realized.
6. the three-dimensional face identification airport safety inspection method based on Cloud Server according to claim 1, is characterized in that,
Step S07 specifically comprises the following steps: Cloud Server retrieves the face master sample in described recognition of face java standard library, and the monumented point behind step of registration S06 location, realizes the rough registration based on monumented point.
7. the three-dimensional face identification airport safety inspection method based on Cloud Server according to claim 1, it is characterized in that, step S07 also comprises: when three-dimensional face images mark region is lost, and monumented point cannot be stablized extraction and carry out three-dimensional face registration by the rough registration method based on Principal Axes Analysis.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410694811.6A CN104392220A (en) | 2014-11-27 | 2014-11-27 | Three-dimensional face recognition airport security inspection method based on cloud server |
| PCT/CN2014/093552 WO2016082252A1 (en) | 2014-11-27 | 2014-12-11 | Airport security check method through three-dimensional face recognition based on cloud server |
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| CN201410694811.6A CN104392220A (en) | 2014-11-27 | 2014-11-27 | Three-dimensional face recognition airport security inspection method based on cloud server |
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| CN104732216A (en) * | 2015-03-26 | 2015-06-24 | 江苏物联网研究发展中心 | Expression recognition method based on key points and local characteristics |
| CN106054278A (en) * | 2016-07-07 | 2016-10-26 | 王飞 | Security door for head three-dimensional data acquisition and identity identification, and method |
| CN106845368A (en) * | 2016-12-30 | 2017-06-13 | 中国民航信息网络股份有限公司 | Airport boarding safety check based on recognition of face confirms system and method again |
| CN108960102A (en) * | 2018-06-22 | 2018-12-07 | 天和防务技术（北京）有限公司 | The automatic detection cabin of Terahertz dangerous material and detection method |
| CN109655928A (en) * | 2019-01-30 | 2019-04-19 | 成都智元汇信息技术股份有限公司 | A kind of detector gate metal analysis system and method based on cloud processing |
| CN111046837A (en) * | 2019-12-24 | 2020-04-21 | 深圳市奥富科数码科技有限公司 | Face recognition equipment based on 5G framework |
| CN111985278A (en) * | 2019-05-24 | 2020-11-24 | 中建材信息技术股份有限公司 | Face recognition method based on deep learning in cloud computing scene |
| CN112016466A (en) * | 2020-08-28 | 2020-12-01 | 中移（杭州）信息技术有限公司 | Face recognition method, face recognition system, electronic device and computer storage medium |
| CN113160575A (en) * | 2021-03-15 | 2021-07-23 | 超级视线科技有限公司 | Traffic violation detection method and system for non-motor vehicles and drivers |
| CN115563396A (en) * | 2022-12-06 | 2023-01-03 | 成都智元汇信息技术股份有限公司 | Degradable centralized intelligent pushing method and device |
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| CN104732216A (en) * | 2015-03-26 | 2015-06-24 | 江苏物联网研究发展中心 | Expression recognition method based on key points and local characteristics |
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| CN106054278B (en) * | 2016-07-07 | 2018-06-12 | 王飞 | A kind of head three dimensional data collection and the detector gate and method of identification |
| CN106845368A (en) * | 2016-12-30 | 2017-06-13 | 中国民航信息网络股份有限公司 | Airport boarding safety check based on recognition of face confirms system and method again |
| CN108960102A (en) * | 2018-06-22 | 2018-12-07 | 天和防务技术（北京）有限公司 | The automatic detection cabin of Terahertz dangerous material and detection method |
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| CN111985278A (en) * | 2019-05-24 | 2020-11-24 | 中建材信息技术股份有限公司 | Face recognition method based on deep learning in cloud computing scene |
| CN111046837A (en) * | 2019-12-24 | 2020-04-21 | 深圳市奥富科数码科技有限公司 | Face recognition equipment based on 5G framework |
| CN112016466A (en) * | 2020-08-28 | 2020-12-01 | 中移（杭州）信息技术有限公司 | Face recognition method, face recognition system, electronic device and computer storage medium |
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