Mr. Jianguo Wu Profile

Jianguo Wu

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Proceedings Article | 4 April 2023 Paper

A fast target depth perception method based on stereo structured light

Zhixin Long, Yuxuan Wang, Taoxin Tang, Jianguo Wu, Zemiao Yu, Hongyu Wang, Dongxue Li

Proceedings Volume 12617, 126177C (2023) https://doi.org/10.1117/12.2666830

KEYWORDS: Cameras, Structured light, Projection systems, Stereo vision systems, Binocular vision, Imaging systems, Analytics, Image segmentation, Calibration, 3D acquisition

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Structured light stereo vision depth perception is a key method in the fields of 3D contour reconstruction and human-computer interaction. To address the problem that the array-encoded raw image cannot be accurately localized due to artifacts when the target under test is moving rapidly, we propose a linear sparse depth perception method based on artifact analysis. Also, in order to effectively perceive the artefact parameters in motion, we design a heterogeneous coding model with grid line mode and array coding mode. To obtain the artifact width parameters of fast-moving objects under binocular vision, the artifact parameters were obtained based on a gradient ridge extraction method. Finally, to obtain the artefact analysis function required for depth perception of fast-moving targets, we used discrete artefact parameters to obtain a global artefact analysis function. Linear sparse depth information is obtained from the artifact parameter information in the binocular images, thus improving the speed and robustness of depth perception. Keywords: structured light; stereo vision; image segmentation; artifact analysis.

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