2001
DOI: 10.1111/1467-8659.00531
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Detection of Salient Curvature Features on Polygonal Surfaces

Abstract: We develop an approach for stable detection of perceptually salient curvature features on surfaces approximated by dense triangle meshes. The approach explores an “area degenerating” effect of the focal surface near its singularities and combines together a new approximations of the mean and Gaussian curvatures, nonlinear averaging of curvature maps, histogram‐based curvature extrema filtering, and an image processing skeletonization procedure adapted for triangular meshes. Finally we use perceptually signific… Show more

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Cited by 121 publications
(59 citation statements)
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“…For example, several definitions of normals, principal directions and curvatures over a mesh can be found in [Tau95,CW00]. Ridges of polyhedral surfaces as well as cuspidal edges of the focal sets are computed in [WB01]. Geodesics and discrete versions of the Gauss-Bonnet theorem are considered in [PS98].…”
Section: Estimating Differential Quantitiesmentioning
confidence: 99%
“…For example, several definitions of normals, principal directions and curvatures over a mesh can be found in [Tau95,CW00]. Ridges of polyhedral surfaces as well as cuspidal edges of the focal sets are computed in [WB01]. Geodesics and discrete versions of the Gauss-Bonnet theorem are considered in [PS98].…”
Section: Estimating Differential Quantitiesmentioning
confidence: 99%
“…Difficulties arise due to the feature-insensitive sampling and the noise of the given data. Various approaches have been proposed to address this problem, mostly for surfaces which are described by triangular meshes [2,11,36].…”
Section: Related Workmentioning
confidence: 99%
“…A simple method for estimating the principal curvatures of a surface that is approximated by a triangular mesh was proposed in [18].…”
Section: The Watanabe and Belyaev Approachmentioning
confidence: 99%
“…We also considered two modifications to the algorithm of Watanabe and Belyaev [18]. In the two following modificated algorithms, the first step was the same.…”
Section: Modificationsmentioning
confidence: 99%