期刊
COMPUTER VISION AND IMAGE UNDERSTANDING
卷 129, 期 -, 页码 27-41出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cviu.2014.04.013
关键词
Digital geometry; Curvature estimation; Multigrid convergence; Integral invariants
资金
- DIGITALSNOW [ANR-11-BS02-009]
- PRIMES LABEX [ANR-11-LABX-0063/ANR-11-IDEX-0007]
- KIDICO [ANR-2010-BLAN-0205]
- CNRS/IN2P3 Computing Center (Lyon/Villeurbanne - France)
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. (C) 2014 Elsevier Inc. All rights reserved.
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