Search Results - "Computer Graphics [I.3.5]: Computational Geometry AND Object Modeling-Curve"
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Discrete 2-Tensor Fields on Triangulations
ISSN: 0167-7055, 1467-8659Published: Oxford Blackwell Publishing Ltd 01.08.2014Published in 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, 1467-8659Published: Oxford, UK Blackwell Publishing Ltd 01.09.2011Published in 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, 1467-8659Published: Oxford Blackwell Publishing Ltd 01.08.2015Published in 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, 1467-8659Published: Oxford, UK Blackwell Publishing Ltd 01.10.2009Published in 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, 1467-8659Published: Oxford Blackwell Publishing Ltd 01.02.2016Published in 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, 1467-8659Published: Oxford Blackwell Publishing Ltd 01.02.2018Published in 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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