WANG Yinghui and XIAO Bing and WANG Qiongfang, “Stereo Matching for Face Images Based onFeature Points,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 241-244, 2010,
Citation:
WANG Yinghui and XIAO Bing and WANG Qiongfang, “Stereo Matching for Face Images Based onFeature Points,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 241-244, 2010,
WANG Yinghui and XIAO Bing and WANG Qiongfang, “Stereo Matching for Face Images Based onFeature Points,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 241-244, 2010,
Citation:
WANG Yinghui and XIAO Bing and WANG Qiongfang, “Stereo Matching for Face Images Based onFeature Points,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 241-244, 2010,
Stereo matching is the key of reconstruct- ing 3D face model from 2D face images and Barnard's al- gorithm is one of the classical stereo matching algorithms based on feature points. In order to enhance the stability of extracting feature points, reduce computational com- plexity and minimize the e®ect of subjective factors, in this paper, Barnard's algorithm of edge point matching was im- proved from two aspects: edge point sets of left and right face images were extracted with dyadic wavelet transform, rather than comparing gray values of adjacent pixels; on the other hand, edge points in binocular stereo face images were matched under epipolar constraint in parallel binoc- ular stereo matching. Experimental results demonstrate that stability and e±ciency of stereo matching algorithm are both improved.
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