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Improved three-dimensional human face in-vivo detection method and device thereof

A 3D face and living body detection technology, which is applied in the field of face recognition and image processing, can solve the problems of low accuracy, poor robustness and stability, and achieve high accuracy, stable curvature of the surface, and robustness and stability effects

Active Publication Date: 2016-07-06
BEIJING EYECOOL TECH CO LTD +1
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Problems solved by technology

[0005] The existing face liveness detection method only uses the maximum depth difference between feature points for simple judgment, which has low accuracy, poor robustness and stability

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  • Improved three-dimensional human face in-vivo detection method and device thereof
  • Improved three-dimensional human face in-vivo detection method and device thereof
  • Improved three-dimensional human face in-vivo detection method and device thereof

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Embodiment Construction

[0046] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] refer to figure 1 , shows a flow chart of an embodiment of an improved three-dimensional human face detection method of the present invention, the method comprising:

[0048] Step 101, collecting a three-dimensional face image.

[0049] Usually collect three-dimensional face images with a three-dimensional data acquisition module, and the three-dimensional data acquisition module may include: a 3D camera for collecting three-dimensional face data; a data processing module for processing the three-dimensional face data to generate a three-dimensional face image. Different from a two-dimensional face image, a three-dimensional face image contains depth information of a face, and the depth information refers to distance data...

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Abstract

The invention provides an improved three-dimensional human face in-vivo detection method and device thereof, and relates to the technical field of human face recognition and image processing. The method comprises the following steps: acquiring a three-dimensional human face image; selecting a plurality of feature points in the three-dimensional human face image, and acquiring three-dimensional coordinate information of each point in the field of each feature point; computing actual surface curvature of each feature point according to the three-dimensional coordinate information of each point in the field of each feature point; and judging whether the three-dimensional human face image is from a living body according to the actual surface curvature of each feature point. The in-vivo detection is performed according to the actual surface curvature of the feature point, so that the accuracy of the detection result is high, and the detection result has robustness and stability.

Description

[0001] technology neighborhood [0002] The invention relates to the technical field of face recognition and image processing, in particular to an improved three-dimensional human face living body detection method and a three-dimensional human face living body detection device. Background technique [0003] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. The use of face recognition technology can effectively enhance security and privacy, but there is a problem in reality, that is, using false information such as printed photos, photos or videos in mobile phones or pads can break through the security defense line of the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/653G06V40/45
Inventor 孔勇王玉瑶
Owner BEIJING EYECOOL TECH CO LTD
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