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Efficient view-based 3D reflection symmetry detection

: Li, Bo; Johan, Henry; Ye, Yuxiang; Lu, Yijuan


Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Graphics -SIGGRAPH-:
SA 2014, SIGGRAPH Asia Workshop on Creative Shape Modeling and Design : Shenzhen, December 3-6, 2014
New York: ACM, 2014
ISBN: 978-1-4503-3182-1
Art. 2, 8 pp.
Asia Workshop on Creative Shape Modeling and Design (SA) <2014, Shenzhen>
Conference Paper
Fraunhofer IDM@NTU ()
matching; 3D modeling; Business Field: Virtual engineering; Research Area: Computer graphics (CG); Research Area: Computer vision (CV)

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. Experiments demonstrate better accuracy, efficiency, and flexibility of our algorithm than state-of-the-art approaches.