TOF-assisted binocular vision accuracy improvement method for underwater fish size inspection.

IF 1.4 3区 物理与天体物理 Q3 OPTICS
Lixin Xiu, Xinning Yu, Hongguang Zhou, Lin Zhang, Shencheng Wu, Ying Liang, Yunfeng Bi
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引用次数: 0

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.

TOF辅助双目视觉提高水下鱼群尺寸检测精度的方法。
为了解决诸如通过通常的双目视觉或飞行时间(TOF)深度相机获取用于动态鱼类3D测量的深度图缺乏准确性之类的问题,使用TOF辅助的双目视觉深度获取算法来获得高质量的深度图。TOF深度能量函数用于指导双目立体匹配过程,提高了低纹理区域双目匹配的正确匹配率;TOF和双目立体匹配置信度加权函数被设计为在像素级实现两者的融合,以提高被遮挡重叠区域中鱼类的匹配质量。实验结果表明,与单双目视觉相比,TOF辅助双目视觉系统提高了鱼体尺寸测量的精度,同时降低了鱼体沿深度轴有显著倾斜时的测量误差。
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来源期刊
CiteScore
3.40
自引率
10.50%
发文量
417
审稿时长
3 months
期刊介绍: The Journal of the Optical Society of America A (JOSA A) is devoted to developments in any field of classical optics, image science, and vision. JOSA A includes original peer-reviewed papers on such topics as: * Atmospheric optics * Clinical vision * Coherence and Statistical Optics * Color * Diffraction and gratings * Image processing * Machine vision * Physiological optics * Polarization * Scattering * Signal processing * Thin films * Visual optics Also: j opt soc am a.
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