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Title SHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapes
Authors Iván Sipirán, 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
Publication date 2023
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.
Conference name Eurographics Workshop on 3D Object Retrieval
Publisher Eurographics Association
Reference URL View reference page