Semi-Regular Triangle Remeshing: A Comprehensive Study

Semi‐regular triangle remeshing algorithms convert irregular surface meshes into semi‐regular ones. Especially in the field of computer graphics, semi‐regularity is an interesting property because it makes meshes highly suitable for multi‐resolution analysis. In this paper, we survey the numerous re...

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Veröffentlicht in:Computer graphics forum Jg. 34; H. 1; S. 86 - 102
Hauptverfasser: Payan, F., Roudet, C., Sauvage, B.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Blackwell Publishing Ltd 01.02.2015
Wiley
Schlagworte:
Algorithms
Analysis
Classification
Classifications
Computer graphics
Computer Science
curves & surfaces modeling
Engineering Sciences
I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling-Curve surface
I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling—Curve surface, solid—and object representations
mesh generation modeling
Obstacles
Signal and Image Processing
solid-and object representations
Studies
subdivision surface modeling
Triangles
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Zusammenfassung:Semi‐regular triangle remeshing algorithms convert irregular surface meshes into semi‐regular ones. Especially in the field of computer graphics, semi‐regularity is an interesting property because it makes meshes highly suitable for multi‐resolution analysis. In this paper, we survey the numerous remeshing algorithms that have been developed over the past two decades. We propose different classifications to give new and comprehensible insights into both existing methods and issues. We describe how considerable obstacles have already been overcome, and discuss promising perspectives. Semi‐regular triangle remeshing algorithms convert irregular surface meshes into semi‐regular ones. Especially in the field of computer graphics, semi‐regularity is an interesting property because it makes meshes highly suitable for multiresolution analysis.In this paper, we survey the numerous remeshing algorithms that have been developed over the past two decades.We propose different classifications to give new and comprehensible insights into both existing methods and issues. We describe how considerable obstacles have already been overcome, and discuss promising perspectives.
Bibliographie:ArticleID:CGF12461
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12461