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- W2130882452 abstract "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." @default.
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- W2130882452 date "2014-11-24" @default.
- W2130882452 modified "2023-10-16" @default.
- W2130882452 title "Efficient view-based 3d reflection symmetry detection" @default.
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- W2130882452 doi "https://doi.org/10.1145/2669043.2669045" @default.
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