A Progressive Edge-Based Stereo Correspondence Method

Local stereo correspondence is usually not satisfactory because neither big window nor small window based methods can accurately match densely-textured and textureless regions at the same time. In this paper, we present a progressive edge-based stereo matching algorithm, in which big window and small window based matches are progressively integrated based on the edges of disparity map of a big window based matching. In addition, an arbitrarily-shaped window based matching is used for the regions where big windows and small windows can not find matches, and a novel optimization method, progressive outlier remover, is used to effectively remove outliers and noise. Empirical results show that our method is comparable to some state-of-the-art stereo correspondence algorithms.