A Skeleton-based Approach for Detection of Perceptually Salient Features on Polygonal Surfaces |
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| Authors: | MasayukiHisada Alexander GBelyaev Tosiyasu LKunii |
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| Affiliation: | 1Shape Modeling Lab, University of Aizu, Aizu-Wakamatsu 965-8580, Japan; 2Computer Graphics Group, Max-Planck-Institut für Informatik, 66123 Saarbrücken, Germany; 3Hosei University, 3-7-2 Kajino-cho, Koganei City, Tokyo 184-8584, Japan; 4IT Institute, Kanazawa Institute of Technology, 1-15-13 Jingumae, Shibuya-ku, Tokyo 150-0001, Japan |
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| Abstract: | The paper presents a skeleton‐based approach for robust detection of perceptually salient shape features. Given ashape approximated by a polygonal surface, its skeleton is extracted using a three‐dimensional Voronoi diagramtechnique proposed recently by Amenta et al. 3 ]. Shape creases, ridges and ravines, are detected as curvescorresponding to skeletal edges. Salient shape regions are extracted via skeleton decomposition into patches.The approach explores the singularity theory for ridge and ravine detection, combines several filtering methodsfor skeleton denoising and for selecting perceptually important ridges and ravines, and uses a topological analysisof the skeleton for detection of salient shape regions. ACM CSS: I.3.5 Computational Geometry and Object Modeling |
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