出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper chiefly deals with techniques of stereo vision, particularly focuses on the procedure
of stereo matching. In addition, the proposed approach deals with detection of the regions of
occlusion. Prior to carrying out stereo matching, image segmentation is conducted in order to
achieve precise matching results. In practice, in stereo vision, matching algorithm sometimes
suffers from insufficient accuracy if occlusion is inherent with the scene of interest. Searching
the matching regions is conducted based on cross correlation and based on finding a region of
the minimum mean square error of the difference between the areas of interest defined in
matching window. Middlebury dataset is used for experiments, comparison with the existed
results, and the proposed algorithm shows better performance than the existed matching
algorithms. To evaluate the proposed algorithm, we compare the result of disparity to the
existed ones.
