A novel disparity matching algorithm is proposed.A color segmentation based adaptive weight algorithm is adopted to improve the accuracy of distinctiveness estimation

which has an important influence on the result of disparity matching.Besides

we take advantage of the disparity correspondence of the pixels in the same color region to reduce the range of disparity search and to decrease the computation cost.We use the standard test images on the Middlebury website to evaluate our algorithm.Experimental results show that

compared with the DSM method

our algorithm has a smaller error rate and faster computational speed.