Research on quasi-cylinder labels unfolding method based on structured light

Qian Liu; Min Xu; Shuai Chen

doi:10.1117/12.2643722

9 October 2022 Research on quasi-cylinder labels unfolding method based on structured light

Qian Liu, Min Xu, Shuai Chen

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224628 (2022) https://doi.org/10.1117/12.2643722
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

For the expansion problem of quasi-cylinder labels with unequal radii, this paper proposes a cylindrical-like label surface expansion algorithm based on structured light vision. First, a structured light vision system is built by using an area scan camera and a cross laser. Second, the cross-laser point cloud of the quasi-cylinder label is obtained, and all the label point clouds are reconstructed according to the obtained laser point cloud. Finally, using the camera imaging model and the acquired images, the surface unfolding of the quasi-cylinder label is realized. The experimental results show that the algorithm takes only 150ms to realize the surface expansion of the quasi-cylinder label. And this algorithm does not require complex pose optimization, so the efficiency of the algorithm is further improved.

Citation Download Citation

Qian Liu, Min Xu, and Shuai Chen "Research on quasi-cylinder labels unfolding method based on structured light", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224628 (9 October 2022); https://doi.org/10.1117/12.2643722

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