SHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapes
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents the methods that participated in the SHREC 2023 track focused on detecting symmetries on 3D point clouds representing simple shapes. By simple shapes, we mean surfaces generated by different types of closed plane curves used as the directrix of a cylinder or a cone. This track aims to determine the reflective planes for each point cloud. The methods are evaluated in their capability of detecting the right number of symmetries and correctly identifying the reflective planes. To this end, we generated a dataset that contains point clouds representing simple shapes perturbed with different kinds of artefacts (such as noise and undersampling) to provide a thorough evaluation of the robustness of the algorithms.
Description
CCS Concepts: Computing methodologies → Shape analysis; Point-based models
@inproceedings{10.2312:3dor.20231148,
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {Fugacci, Ulderico and Lavoué, Guillaume and Veltkamp, Remco C.},
title = {{SHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapes}},
author = {Sipiran, Ivan and Romanengo, Chiara and Peng, Silong and Romanelis, Ioannis and Sun, Wenhao and Vlachos, Christoforos and Wu, Ziyu and Xie, Qiong and Falcidieno, Bianca and Biasotti, Silvia and Arvanitis, Gerasimos and Chen, Chen and Fotis, Vlassis and He, Jianfang and Lv, Xiaoling and Moustakas, Konstantinos},
year = {2023},
publisher = {The Eurographics Association},
ISSN = {1997-0471},
ISBN = {978-3-03868-213-4},
DOI = {10.2312/3dor.20231148}
}