基于图像分割和可变窗的联合立体匹配

提出一种基于图像分割和可变窗的联合立体匹配算法。首先对参考图像和目标图像进行图像分割,根据视差在同一色彩分割区域平滑的假设,计算出分割区域的匹配代价;然后由窗口内的匹配误差均值、误差方差、偏向误差确定最佳可变窗并求出其匹配代价;最后综合两类匹配代价通过局部优化方法获得稠密视差图。实验结果表明,该算法能够较好的处理低纹理和深度不连续区域,得到较高匹配精度的同时降低了匹配时间。

Joint stereo matching based on image segmentation and variable windows

A stereo matching based on image segmentation and variable windows is presented was proposed.Firstly,the reference and the target image was segmented based on the color information,according to the hypothesis of disparity in the same color segmentation region smooth,the matching cost of segmented regions was calculated,and then the matching cost of the best variable windows was calculated through the average matching errors,error variance and biases error,at last,two categories matching cost were merged and the dense disparity map was abtained through local optimization.Experimental results show that the algorithm can get a good effect on low texture and discontinuous depth region,not only achieves high accuracy but also has shorter matching time.