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27 March 2024 Tracking-based optical measurement method using circular coded marks points
Haibo Qin, Yunyong Cheng, Wenguang Ye
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Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131051G (2024) https://doi.org/10.1117/12.3026780
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China
Abstract
During the process of scanning the shape of a large object, multiple scans from different angles are required due to the influence of surface complexity and scanning field of view, and then these data are stitched together into a whole. This paper proposes a tracking-based optical measurement point cloud stitching method based on circular coded points. During the scanning of the object by the structured light scanner, the binocular tracking camera real-time locates and pastes the circular coded points on the scanner. Using this marker as an intermediary, the reconstructed 3D point cloud in the coordinate system of the structured light scanner is transformed to the reference coordinate system of the positioning and tracking binocular camera to achieve point cloud stitching and complete the reconstruction of the three-dimensional morphology information of the object being measured.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Haibo Qin, Yunyong Cheng, and Wenguang Ye "Tracking-based optical measurement method using circular coded marks points", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131051G (27 March 2024); https://doi.org/10.1117/12.3026780
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KEYWORDS
Point clouds
3D tracking
Calibration
Imaging systems
Binocular vision
Image segmentation
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