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Multigrid convergent principal curvature estimators in digital geometry

Abstract : In many geometry processing applications, the estimation of differential geometric quantities such as curvature or normal vector field is an essential step. In this paper, we investigate a new class of estimators on digital shape boundaries based on integral invariants (Pottmann et al., 2007) [39]. More precisely, we provide both proofs of multigrid convergence of principal curvature estimators and a complete experimental evaluation of their performances.
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Contributor : Béatrice Rayet <>
Submitted on : Monday, February 23, 2015 - 11:06:31 AM
Last modification on : Thursday, November 19, 2020 - 1:01:04 PM

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David Coeurjolly, Jacques-Olivier Lachaud, Jérémy Levallois. Multigrid convergent principal curvature estimators in digital geometry. Computer Vision and Image Understanding, Elsevier, 2014, 129 (1), pp.27-41. ⟨10.1016/j.cviu.2014.04.013⟩. ⟨hal-01119434⟩



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