A Segment-based Two-step Stereo Correspondence Algorithm
一种基于分割的两步立体匹配算法

A segment-based two-step stereo correspondence algorithm is proposed.In the first step,Dynamic Programming and Left-Right Consistency are used to detect ground control points,and the original image is segmented into small areas,where each of them is assumed as a single disparity,mean while the detected GCP are used to compute the disparity value of the part of the image;In the second step,the left unmatched areas are coded as a single chromosome,and are optimized with genetic algorithm to generate the dense stereo disparity map.The algorithm is tested on the standard image pairs,and the experimental results show its good performance.