改进的双目立体视觉正面脸合成

doi:10.3969/j.issn.0255-8297.2014.01.012

Abstract

Abstract: To improve the face recognition performance under different poses, we propose an improved frontal face synthesis method based on binocular stereo vision, which can effectively and quickly synthesize a frontal face. A modified matching algorithm is designed to deal with smoothness of faces. Then 3-D coordinates are generated according to the disparity image, and the pose angle of the face calculated according to the location of eyes. A frontal face is generated according to the pose angle using the method of binocular stereo vision.Experimental results show that the method is precise, practical, and fast.

Key words: binocular stereo vision, face recognition, region growing, disparity map

CLC Number:

TP391

WANG Jing1,2, SU Guang-da1. Frontal Face Synthesis Based on Improved Binocular Stereo Vision[J]. Journal of Applied Sciences, 2014, 32(1): 74-78.

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Frontal Face Synthesis Based on Improved Binocular Stereo Vision

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