Stereo Matching for Face Images Based on Feature Points  

作　　者：WANG Yinghui XIAO Bing WANG Qiongfang 

机构地区：[1]Faculty of Computer Science and Engineering, Xi＇an University of Technology, Xi＇an 710048, China [2]Department of Computer Science, Shaanxi Normal University, Xi＇an 710062, China [3]Faculty of of Automation and Information Engineering, Xi＇an University of Technology, Xi＇an 710048, China

出　　处：《Chinese Journal of Electronics》2010年第2期241-244,共4页电子学报（英文版）

摘　　要：Stereo matching is the key of reconstructing 3D face model from 2D face images and Barnard＇s algorithm is one of the classical stereo matching algorithms based on feature points. In order to enhance the stability of extracting feature points, reduce computational complexity and minimize the effect of subjective factors, in this paper, Barnard＇s algorithm of edge point matching was improved 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 binocular stereo matching. Experimental results demonstrate that stability and efficiency of stereo matching algorithm are both improved.

关 键 词：Face image Stereo matching Dyadic wavelet transform Edge point matching 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP391.4[自动化与计算机技术—计算机科学与技术]