Abstract

To address problems such as the lack of accuracy in acquiring depth maps for dynamic fish 3D measurements by usual binocular vision or a time-of-flight (TOF) depth camera, a TOF-assisted binocular vision depth acquisition algorithm is used to obtain high-quality depth maps. The TOF depth energy function is designed to guide the binocular stereo matching process, which improves the correct matching rate of binocular matching in low-texture regions; the TOF and binocular stereo matching confidence weighting functions are designed to achieve the fusion of the two at pixel level to improve the matching quality of fish in the occluded overlapping regions. The experimental results show that the TOF-assisted binocular vision system improves the accuracy of fish size measurement compared to single binocular vision while reducing the measurement error when the fish body has a significant inclination along the depth axis.

© 2023 Optica Publishing Group

LiDAR-assisted accuracy improvement strategy for binocular visual measurement

Junfeng Chen, Jingjing Bai, Yunpeng Cheng, Yunpeng Ma, and Qingwu Li
Appl. Opt. 62(9) 2178-2187 (2023)

Real-time binocular visual localization system based on the improved BGNet stereo matching framework

Zanxi Qu, Li Li, Weiqi Jin, and Ye Yang
J. Opt. Soc. Am. A 41(3) 500-509 (2024)

Three-dimensional reconstruction of mobile binocular stereo vision based on push-broom line structured light for a workpiece surface

Yue Wang, Xueyou Han, Jing Rui, Hailan Zhang, Lei Yin, Xuefeng Zhang, and Xiangjun Wang
J. Opt. Soc. Am. A 40(11) 2096-2107 (2023)

Shape recovery from fusion of polarization binocular vision and shading

Zhiying Tan, Weifeng Kong, Yan Ji, Xu Tao, Jinying Zhao, Meiling Wang, and Xiaobin Xu
Appl. Opt. 62(23) 6194-6204 (2023)

Defect inspection for underwater structures based on line-structured light and binocular vision

Yi Wu, Yaqin Zhou, Shangjing Chen, Yunpeng Ma, and Qingwu Li
Appl. Opt. 60(25) 7754-7764 (2021)