Computing Minimum Area Homologies

Calculating and categorizing the similarity of curves is a fundamental problem which has generated much recent interest. However, to date there are no implementations of these algorithms for curves on surfaces with provable guarantees on the quality of the measure. In this paper, we present a simila...

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Veröffentlicht in:	Computer graphics forum Jg. 34; H. 6; S. 13 - 21
Hauptverfasser:	Chambers, Erin Wolf, Vejdemo-Johansson, Mikael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.09.2015
Schlagworte:	Algorithms Analysis Chains Clustering algorithms Computation computational geometry Computer graphics curves and surfaces Efficient implementation Feasibility Geometry Homology Homotopies I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling-Geometric algorithms I.5.3 [Pattern Recognition]: Clustering-Similarity measures Image processing systems languages and systems languages and systems; I.5.3 [Pattern Recognition]: Clustering–Similarity measures Linear algebra Linear algebra tools Mathematical analysis Object modelling Pattern recognition Pattern recognition systems Similarity Similarity measure Similarity measures Studies Topological manifolds weird math I.5.3 [Pattern Recognition]: Clustering-Similarity measures languages and systems
ISSN:	0167-7055, 1467-8659, 1467-8659
Online-Zugang:	Volltext
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