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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaEG 3DOR 2023 - Eurographics Workshop on 3D Object Retrieval, Short Papers
EditoresDieter W. Fellner, Werner Hansmann, Werner Purgathofer, Francois Sillion
EditorialEurographics Association
Páginas1-8
Número de páginas8
ISBN (versión digital)9783038682134
DOI
EstadoPublicada - 2023
Publicado de forma externa
Evento16th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2023 - Lille, Francia
Duración: 31 ago. 20231 set. 2023

Serie de la publicación

NombreEurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (versión impresa)1997-0463
ISSN (versión digital)1997-0471

Conferencia

Conferencia16th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2023
País/TerritorioFrancia
CiudadLille
Período31/08/231/09/23

Huella

Profundice en los temas de investigación de 'SHREC 2023: Detection of symmetries on 3D point clouds representing simple shapes'. En conjunto forman una huella única.

Citar esto