Abstract: A method for generating the depth image from multi-view images based on color segmentation is presented. Mean-shift algorithm is used to extract homogenous regions in the reference image. The initial disparity maps applying local window-based matching algorithm is got. According to certain criteria, these initial depth maps are merged into one disparity map to improve the quality of disparity map, and optimized the disparity map by post processing. The disparity map is converted to a depth map. The algorithm can deal with the occlusion problem effectively, which increases the matching accuracy, and improves the quality of the disparity map.

Key words: depth extraction, stereo matching, color segmentation, disparity map

摘要： 提出一种深度获取方法，利用基于颜色分割的多目立体匹配算法，从多个视点图像中提取深度信息。利用mean-shift算法，根据颜色信息分割参考图像，提取图像中的颜色一致性区域，通过局部窗口匹配算法进行多目立体匹配得到多幅初始视差图，根据融合准则将多幅视差图合成为一幅视差图以提高视差图的精度并对视差图进行优化后处理，按照视差与深度的关系，将视差图转化为深度图。该算法能有效处理匹配过程中的遮挡区域，提高匹配精度和视差图的准确度。

关键词: 深度获取, 立体匹配, 颜色分割, 视差图

CLC Number: 

• TP311.52