Three-dimensional face recognition method based on feature points

A technology of three-dimensional face and recognition methods, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problems of three-dimensional face recognition performance degradation, large amount of data, and prolonged computing time.

Active Publication Date: 2014-10-08
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

However, the 3D face model is mostly saved in the form of point cloud, the amount of data is large, and the calculation time is length

Method used

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  • Three-dimensional face recognition method based on feature points
  • Three-dimensional face recognition method based on feature points
  • Three-dimensional face recognition method based on feature points

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Embodiment Construction

[0059] Referring to the accompanying drawings in the specification, the specific embodiments of the present invention will be further described below.

[0060] The feature point-based three-dimensional face recognition method of the present invention realizes the three-dimensional face recognition process through the Matlab R2010b programming tool in the Windows operating system. The experimental data comes from the FRGC V2.0 3D face database, which contains 4007 face models of 466 individuals for testing. figure 1 It is an overall flow chart of the inventive method, and the concrete steps are as follows:

[0061] Step 1), respectively carry out smooth denoising to test face model, N library set face models and M training set face models;

[0062] Step 1.1), project the face point cloud data to the XOY plane, and use the 2.5-dimensional grid algorithm to reconstruct the surface of the projected point cloud data, so that the triangular mesh W of the face point cloud is obtaine...

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Abstract

Disclosed is a three-dimensional face recognition method based on feature points. The method comprises the following steps that firstly, a three-dimensional face model is preprocessed, and point cloud data are mapped into a depth image through linear interpolation; then, Gabor filtering is applied to the depth image to roughly locate the face feature points, and then the feature points are precisely located on a face point cloud according to ShapeIndex features; then, a series of equally-measured contour lines with the nose bridge as the center is extracted for representing the shape of the face, and Procrustean vector features (distance and angles) with posture invariance are extracted as recognition features; finally, weighted fusion is carried out on all equally-measured contour line features for final recognition. The three-dimensional face recognition method has the good locating and recognition performance, and is good in robustness in expression and posture.

Description

technical field [0001] The invention relates to a three-dimensional face recognition method based on feature points, and relates to the fields of digital image processing and pattern recognition. Background technique [0002] Biometric recognition such as face recognition, fingerprint recognition, and iris recognition has broad application prospects in the security field, especially face recognition technology, due to the characteristics of face recognition, such as less interference to users and good concealment, has become the current pattern recognition field. research hotspots. Traditional face recognition based on two-dimensional images has made great progress, but the recognition effect is still limited by factors such as illumination, posture and expression, while the three-dimensional face model is less affected by illumination and posture, and the three-dimensional human The face model contains more geometric information, so 3D face recognition has received more an...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54
Inventor 达飞鹏李燕春刘俊权吕士文邓星常朋朋
Owner SOUTHEAST UNIV
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