Research on stereo matching algorithm of underwater binocular detection

Xiurui Zhang; Zhenduo Zhang

doi:10.1117/12.2684482

1 August 2023 Research on stereo matching algorithm of underwater binocular detection

Xiurui Zhang, Zhenduo Zhang

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127542B (2023) https://doi.org/10.1117/12.2684482
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

Underwater binocular detection is a detection method using binocular stereo vision. Binocular stereo vision is increasingly used in robot vision, aerial mapping, reverse engineering, military applications, medical imaging and industrial detection. The AUV (Autonomous Underwate Vehicle) equipped with binocular optical system restores the real underwater three-dimensional world through binocular stereo detection results, and becomes an important means for underwater resource detection and underwater target search. Due to the imaging characteristics of underwater images, there are a large number of weak texture and repeated texture areas, and the current underwater stereo matching algorithm has poor matching effect in these areas. To solve this problem, this paper proposes a multi-cost fusion BP(belief propagation) algorithm based on image segmentation information to improve the matching effect of such regions. Experimental results of Middlebury data and real underwater binocular image data show that the proposed algorithm improves the matching effect of weak texture and non-texture regions.

Citation Download Citation

Xiurui Zhang and Zhenduo Zhang "Research on stereo matching algorithm of underwater binocular detection", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127542B (1 August 2023); https://doi.org/10.1117/12.2684482

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