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Efficient 3D reflection symmetry detection: A view-based approach

: Li, B.; Johan, H.; Ye, Y.X.; Lu, Y.J.


Graphical Models 83 (2016), pp.2-14
ISSN: 1524-0703
Asia Workshop on Creative Shape Modeling and Design (SA) <2014, Shenzhen>
National Science Foundation NSF
1305302; CNS
Journal Article, Conference Paper
Fraunhofer IDM@NTU ()

Symmetries exist in many 3D models while efficiently finding their symmetry planes is important and useful for many related applications. This paper presents a simple and efficient view-based reflection symmetry detection method based on the viewpoint entropy features of a set of sample views of a 3D model. Before symmetry detection, we align the 3D model based on the Continuous Principal Component Analysis (CPCA) method. To avoid the high computational load resulting from a directly combinatorial matching among the sample views, we develop a fast symmetry plane detection method by first generating a candidate symmetry plane based on a matching pair of sample views and then verifying whether the number of remaining matching pairs is within a minimum number. Experimental results and two related applications demonstrate better accuracy, efficiency, robustness and versatility of our algorithm than state-of-the-art approaches.