Variable Window Stereo Matching Based on Phase Congruency
Long Yuan Guo, Chang Yin Sun, Guo Yun Zhang, Jian Hui Wu · Applied Mechanics and Materials · 2013
The major challenge in area stereo matching algorithms is to find appropriate window size and shape. Phase congruency is robust to noise and can reflects the gray changes. With these benefits, the paper first detects image and determines pixels characteristics according to phase congruency. Then, different window will be used to matching according to different feature pixels. After using cost function which combined with non-parametric measure and gray value, the final disparity map will be obtained. The result of experiment indicates that the algorithm can generates more accurate disparity map.