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A Skeleton‐based Approach for Detection of Perceptually Salient Features on Polygonal Surfaces
Author(s) -
Hisada Masayuki,
Belyaev Alexander G.,
Kunii Tosiyasu L.
Publication year - 2002
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/1467-8659.00627
Subject(s) - salient , topological skeleton , skeleton (computer programming) , artificial intelligence , ridge , skeletonization , computer vision , computer science , pattern recognition (psychology) , geometry , segmentation , mathematics , geology , active shape model , paleontology , programming language
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