SHREC 2023: Detection of symmetries on 3D point clouds representing simple shapes

Ivan Sipiran, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti, Gerasimos Arvanitis, Chen Chen, Vlassis Fotis, Jianfang He, Xiaoling Lv, Konstantinos Moustakas, Silong Peng, Ioannis Romanelis, Wenhao Sun, Christoforos Vlachos, Ziyu Wu, Qiong Xie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationEG 3DOR 2023 - Eurographics Workshop on 3D Object Retrieval, Short Papers
EditorsDieter W. Fellner, Werner Hansmann, Werner Purgathofer, Francois Sillion
PublisherEurographics Association
Pages1-8
Number of pages8
ISBN (Electronic)9783038682134
DOIs
StatePublished - 2023
Externally publishedYes
Event16th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2023 - Lille, France
Duration: 31 Aug 20231 Sep 2023

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (Print)1997-0463
ISSN (Electronic)1997-0471

Conference

Conference16th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2023
Country/TerritoryFrance
CityLille
Period31/08/231/09/23

Keywords

  • Point-based models
  • Shape analysis

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