Mean Value Estimation of Shape Operator on Triangular Meshes

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Vydáno v:International Journal of Advanced Computer Science and Applications vol. 12, no. 7 (2021), p. n/a
Hlavní autor: Ahmed Fouad El Ouafdi
Další autoři: Hassan El Houari
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Science and Information (SAI) Organization Limited
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022 |a 2158-107X 
022 |a 2156-5570 
024 7 |a 10.14569/IJACSA.2021.0120775  |2 doi 
035 |a 2655113172 
045 2 |b d20210101  |b d20211231 
100 1 |a Ahmed Fouad El Ouafdi 
245 1 |a Mean Value Estimation of Shape Operator on Triangular Meshes 
260 |b Science and Information (SAI) Organization Limited  |c 2021 
513 |a Journal Article 
520 3 |a The principal curvatures, eigenvalues of the shape operator, are an important differential geometric features that characterize the object’s shape, as a matter of fact, it plays a central role in geometry processing and physical simulation. The shape operator is a local operator resulting from the matrix quotient of normal derivative with the metric tensor, and hence, its matrix representation is not symmetric in general. In this paper, the local differential property of the shape operator is exploited to propose a local mean value estimation of the shape operator on triangular meshes. In contrast to the stat-of-art approximation methods that produce a symmetric operator, the resulting estimation matrix is accurate and generally not symmet-ric. Various comparative examples are presented to demonstrate the accuracy of proposed estimation. The results show that the principle curvature arising from the estimated shape operator are accurate in comparison with the standard estimation in the literature. 
653 |a Data processing 
653 |a Approximation 
653 |a Methods 
653 |a Computer science 
653 |a Computer graphics 
653 |a Neighborhoods 
653 |a Geometry 
653 |a Eigenvalues 
653 |a Matrix representation 
653 |a Mathematical analysis 
653 |a Differential geometry 
653 |a Operators (mathematics) 
653 |a Tensors 
653 |a Production methods 
653 |a Physical simulation 
700 1 |a Hassan El Houari 
773 0 |t International Journal of Advanced Computer Science and Applications  |g vol. 12, no. 7 (2021), p. n/a 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2655113172/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2655113172/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch