基于标签化匹配区域校正的双目立体匹配算法

双目立体视觉是一种精准有效的测量方法,由此文中提出基于标签化匹配区域校正的双目立体匹配算法.以常规图割算法为基础,通过匹配块的空间几何信息校正匹配区域,获得更高亚像素级精度的匹配视差.首先,根据标签及空间几何信息确定校正变换,充分利用左右两图匹配区域的像素信息.然后,不断更新获选标签,找到使全局能量最小的标签.最后,依据左右一致性准则及均值滤波细化视差图.实验表明,文中算法有利于寻找良好、平滑的分段线性视差图,在处理边缘区域和遮挡区域时精确度较高.

Binocular Stereo Matching Algorithm Based on Labeled Matching Region Correction

Binocular stereo vision is an accurate and effective measurement method. A binocular stereo matching method for label matching region correction is proposed. Based on the conventional graph cuts algorithm, the matching region is corrected by the spatial geometrical information of the block and a higher subpixel accuracy matching disparity map is obtained. Firstly, the correction transformation is determined by label and spatial geometrical information, and consequently the pixel information of the matching area of the left and right images are fully exploited. Then, the candidate 3D label is updated repeatedly to find the label minimizing the global energy. Finally, the left-right checking and the mean filtering are utilized to refine the disparity map. Experiments show that the proposed method is effective in finding a good, smooth piecewise linear disparity map with higher accuracy for edge region and occlusion region.