【摘要】 针对立体视觉中图像对应点的误匹配问题 ,以时间规整算法 (DTW )为基础 ,提出了自适应窗口的立体匹配算法 根据外极线的约束 ,在自适应窗口内采用灰度相关技术得到长度不相等的两个灰度段作为相容的匹配序列 ;利用动态规划法及连续性约束寻找一条最佳的匹配路径 根据回溯得到的匹配路径及其坐标值得到高密度视差图 实验结果表明 ,该算法具有较高的运行效率和良好的匹配效果更多还原

【Abstract】 For solving the incorrect stereo matching problem of visual images, an adaptive windows-constrained stereo matching algorithm based on the dynamic time warping (DTW) is proposed in the paper. In this algorithm, we first find out a pair of compatible sequences from images according to the constraint epipolar. In searching the sequences, we use the technique of gray correlation in adaptive windows to obtain two matching sequences which may not have to be in the same lengths. Then, the dynamic programming (DP) method with DTW is used to find out an optimum matching path under the continuity constraint. Detailed disparity map can be obtained from the matching paths and the coordinates of the matching sequences in images. Experiments show that this algorithm is highly efficient in computation, and generates nice result of stereo matching.更多还原