Segment-tree based stereo matching algorithm of segmented regions collaborative optimization

Benyu Hou; Hui Ma; Zheng Li; Wang Zhang

doi:10.1117/12.2634688

4 May 2022 Segment-tree based stereo matching algorithm of segmented regions collaborative optimization

Benyu Hou, Hui Ma, Zheng Li, Wang Zhang

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121720X (2022) https://doi.org/10.1117/12.2634688
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

In order to improve the matching rate of weak and repeated texture regions, caused by a wrong match in somewhere of the image, which will be propagated to adjacent pixels for the non-local aggregation algorithm based on minimum spanning tree image segmentation, a segmented regions collaborative optimization for stereo matching algorithm based on segmenttree (ST) is proposed. In the cost calculation stage, the cost calculation method of multi-feature fusion based on color and gradient is used from the perspective of probability to obtain the initial matching cost. Then, in the cost aggregation stage, the segmented regions collaborative optimization algorithm is used to filter the segmented regions based on ST, and the collaborative optimization strategy of matching cost within the region is realized by selecting the main disparity and the proportion-based penalty optimization method. Finally, the disparity map is obtained through some post-processing. The algorithm test on Middlebury’s V2 datasets. The experimental result shows that the average error matching rate of this algorithm is 5.72%, and it shows that the algorithm in this paper has a high matching accuracy.

Citation Download Citation

Benyu Hou, Hui Ma, Zheng Li, and Wang Zhang "Segment-tree based stereo matching algorithm of segmented regions collaborative optimization", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121720X (4 May 2022); https://doi.org/10.1117/12.2634688

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