Fast Stereo Matching Method Using Edge Traction
Zhengdong Liu, Zhao Ying-nan, Jingyu Yang · 2006
Combining the reliable edge feature points and area similarity, the fast stereo matching algorithm using edge traction was presented. First, find valid disparity set of feature points and traverse combinations of adjacent points’ disparities, obtain the valid disparity set of featureless points using dynamic program, then, generate the initial sparse disparity space using area similarity. The algorithm reduces the computation complexity of disparity space and decreases the possibility of mismatching illusion. Under the uniqueness constraint, integral dense disparity map and occlusion area can be obtained by collision detection. Experiment on real visual images is performed to verify the feasibility and effectiveness of this algorithm.