Stereo image matching approach based on pair-wise sequence alignment algorithm
基于双序列比对算法的立体图像匹配方法*

This paper presented an approach for stereo image matching based on pair-wise sequence alignment algorithm after analyzing the existing stereo image matching methods. Pixel gray value on homonymy epipolar in stereo image pairs was thought of as a pair of character sequences, and then the disparity of stereo image pairs could be acquired by the pair-wise sequence alignment algorithm based on dynamic programming to matching these pairs of character sequences. To demonstrate the feasibility and applicability of the proposed approach, adopted face stereo image pairs to the experiment. Experimental results show that using the proposed approach for stereo image matching can produce a smooth and dense disparity map. The pair-wise sequence alignment algorithm based on dynamic programming can effectively solve the stereo image matching problem, so it provides a practical and effective approach to stereo matching of image.