Rapid three-dimensional face identification method based on bi-eye passiveness stereo vision

Abstract

The invention discloses a fast 3D face identifying method based on double-eye passive solid sight, which includes the following steps: 1) a non-contact short shaft parallel binocular stereo vision system is built by applying two high-definition digital cameras; 2) after system calibration is finished, face detection and collection based on a haar-AdaBoost sorting machine is carried out on a preview frame image for obtaining corresponding upper and lower stereoscopic vision graph pairs and estimating a sight difference; image correction is carried out on a face area for obtaining the upper and lower stereoscopic vision graph pairs vertical to the polar lines inside and outside the area; 3) the accurate location on the eyes and a spex nasi is captured by applying a Bayesian and the haar-AdaBoost sorting machines as well as point cloud 3D information for building a benchmark triangle; 4) the corresponding sub pixels in the middle and small areas are matched by applying the pyramidal parallel search solid graph of a phase relevant arithmetic based on a complex wavelet; 5) pose normalizing and hole filling are carried out on the faces under different poses by applying the built benchmark triangle; 6) expression normalization is carried out on different faces based on the suppose that the surface geodesic distance of the face is invariable; 7) the 3D faces after normalization are identified by utilizing the arithmetic. The method has the beneficial effects of: mainly solving the problems of being hard to fast and automatically obtain the passive stereoscopic vision and identifying the 3D point cloud information of the dense and accurate face under different poses and expressions, thus leading the 3D face identifying process to be faster, more hidden, safer and more reliable.

Description

technical field [0001] The invention relates to a three-dimensional face recognition method, which is mainly a new idea based on the rapid and automatic acquisition of dense and accurate three-dimensional point cloud information on the face surface through binocular passive stereo vision to perform three-dimensional reconstruction of the human face, based on the point cloud Expression-independent 3D face recognition method based on semi-random statistical features and high-dimensional moment vectors. Background technique [0002] As an important aspect of biometric identification, face recognition is more concealed, friendly and convenient than fingerprint, iris, DNA recognition and other technologies, and has broad application prospects. However, in the two-dimensional case, it is unavoidable to be adversely affected by ambient light, background, viewing angle, etc., as well as the posture, expression, and occlusion of the face, so it is difficult to further improve the rec...

AI Technical Summary

Problems solved by technology

[0005] In terms of recognition and information storage, the collected face 3D point cloud data is usually very large, and it is not suitable for direct storage and recognition comparison. The traditional ICP method is very time-consuming and difficult to normalize.

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