Výsledky vyhľadávania - "Computer Graphics [I.3.5]: Computational Geometry and Object Modeling-Curve"
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Discrete 2-Tensor Fields on Triangulations
ISSN: 0167-7055, 1467-8659Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.08.2014Vydané v Computer graphics forum (01.08.2014)“…Geometry processing has made ample use of discrete representations of tangent vector fields and antisymmetric tensors (i.e., forms) on triangulations…”
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Scale Space Meshing of Raw Data Point Sets
ISSN: 0167-7055, 1467-8659Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.09.2011Vydané v Computer graphics forum (01.09.2011)“…This paper develops a scale space strategy for orienting and meshing exactly and completely a raw point set. The scale space is based on the intrinsic heat…”
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LeSSS: Learned Shared Semantic Spaces for Relating Multi-Modal Representations of 3D Shapes
ISSN: 0167-7055, 1467-8659Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.08.2015Vydané v Computer graphics forum (01.08.2015)“…In this paper, we propose a new method for structuring multi‐modal representations of shapes according to semantic relations. We learn a metric that links…”
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Variational Surface Approximation and Model Selection
ISSN: 0167-7055, 1467-8659Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.10.2009Vydané v Computer graphics forum (01.10.2009)“…We consider the problem of approximating an arbitrary generic surface with a given set of simple surface primitives. In contrast to previous approaches based…”
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A Hierarchical Approach for Regular Centroidal Voronoi Tessellations
ISSN: 0167-7055, 1467-8659Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.02.2016Vydané v Computer graphics forum (01.02.2016)“…In this paper, we consider Centroidal Voronoi Tessellations (CVTs) and study their regularity. CVTs are geometric structures that enable regular tessellations…”
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Uniformization and Density Adaptation for Point Cloud Data Via Graph Laplacian
ISSN: 0167-7055, 1467-8659Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.02.2018Vydané v Computer graphics forum (01.02.2018)“…Point cloud data is one of the most common types of input for geometric processing applications. In this paper, we study the point cloud density adaptation…”
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