A local distance descriptor for 3D point clouds

Wei Li; Allen Mudiwa; Lu Zhang

doi:10.1117/12.3023903

27 May 2024 A local distance descriptor for 3D point clouds

Wei Li, Allen Mudiwa, Lu Zhang

Proceedings Volume 13169, Fifth International Conference on Computer Vision and Computational Intelligence (CVCI 2024); 1316906 (2024) https://doi.org/10.1117/12.3023903
Event: Fifth International Conference on Computer Vision and Computational Intelligence (CVCI 2024), 2024, Bangkok, Thailand

Abstract

Extracting 3D features from point cloud data is the central component for the automatic repair system of ancient ceramic fragments developed by us. This paper presents a local 3D point clouds descriptor for individual point on various surfaces based on the distances among the point’s neighborhood, which providing feature extracting service to the system. The descriptor use the distance between the point with its k-neighborhoods, which are chosen by a adjustable search radius, to identify the surface type of the ceramic fragments. The descriptor then utilize and maintain the existed local distance information from some selected point to generate feature vectors for accurate point matching which will ease the restoration work. To validate the algorithm, experiments on real data are performed and compared with other similar descriptors. The results show that our descriptor can provide reliable identification performance and also do not introduce any local information loss. The descriptor are also a non-geometric deformation operation, so it has the potential to be a commonly used intermediate algorithm in many point cloud applications.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wei Li, Allen Mudiwa, and Lu Zhang "A local distance descriptor for 3D point clouds", Proc. SPIE 13169, Fifth International Conference on Computer Vision and Computational Intelligence (CVCI 2024), 1316906 (27 May 2024); https://doi.org/10.1117/12.3023903

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KEYWORDS

Point clouds

Ceramics

3D modeling

Deep learning

Feature extraction

Binary data

Evolutionary algorithms

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