Paper
20 December 2021 A new method of point cloud boundary extraction based on slice
Haipeng Zhu, Ming Huang, Chuanli Zhou
Author Affiliations +
Proceedings Volume 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021); 121551A (2021) https://doi.org/10.1117/12.2626547
Event: International Conference on Computer Vision, Application, and Design (CVAD 2021), 2021, Sanya, China
Abstract
As an important geometric feature of surface representation, the point cloud boundary plays an important role in the accuracy of 3D surface reconstruction. Aiming at the problems of the complex calculation process, low efficiency, and poor extraction effect of the existing point cloud boundary extraction algorithms, a new method of extracting point cloud boundary based on slicing technology is proposed. By setting the appropriate slice bandwidth, the point cloud is divided into horizontal slice block set and vertical slice block set respectively, and the internal and external boundary feature points are extracted by using the distance threshold between point clouds. Compared with the existing methods, the results show that this method can retain the feature information of the target object point cloud, effectively segment the boundary features of different shape object point clouds, and has strong robustness and accuracy.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haipeng Zhu, Ming Huang, and Chuanli Zhou "A new method of point cloud boundary extraction based on slice", Proc. SPIE 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021), 121551A (20 December 2021); https://doi.org/10.1117/12.2626547
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KEYWORDS
Clouds

Feature extraction

3D modeling

Reconstruction algorithms

Laser applications

Reverse engineering

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