Adaptive aggregation stereo matching algorithm based on edge preservation
Jianjun Bao, Haibo Wang, Haixiang Li, Ke Luo, Xiaolin Shen · 2021
In this paper, an adaptive aggregation stereo matching algorithm based on edge preservation is proposed. The proposed algorithm uses the edge space information of the image to construct a weight matrix, highlights the role of the straight line in the edge weight matrix. Furthermore, the algorithm introduces the idea of cross aggregation, and utilizes the edge weight value to improve the window arm length determination function. Experiments are carried out on Middlebury stereo matching platform, and the results show that the proposed algorithm can distinguish the cost of pixels in different regions more effectively, and finally can improve the matching accuracy of the images in all regions.