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dc.contributor.authorHisada, Masayukien_US
dc.contributor.authorBelyaev, Alexander G.en_US
dc.contributor.authorKunii, Tosiyasu L.en_US
dc.date.accessioned2015-02-16T07:26:52Z
dc.date.available2015-02-16T07:26:52Z
dc.date.issued2002en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/1467-8659.00627en_US
dc.description.abstractThe 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 Modelingen_US
dc.publisherBlackwell Publishers, Inc and the Eurographics Associationen_US
dc.titleA Skeleton-based Approach for Detection of Perceptually Salient Features on Polygonal Surfacesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume21en_US
dc.description.number4en_US
dc.identifier.doi10.1111/1467-8659.00627en_US
dc.identifier.pages689-700en_US


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