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Mesh decomposition using motion information from animation sequences: Animating Geometrical Models

Published: 01 July 2005 Publication History

Abstract

In computer graphics, mesh decomposition is a fundamental problem and it can benefit many applications. In this paper, we propose a novel mesh decomposition algorithm using motion information derived from a given animation sequence. The proposed algorithm first use principal component analysis (PCA) to construct a compact representation of a given animation sequence. Next, from this representation, we derive several motion parameters including motion complexity and similarity. Finally, we decompose a given mesh into sub-meshes using derived motion information and subdivide the triangles along the cutting paths for the smoother borders between the mesh parts. Our experimental results show that this new decomposition scheme can bring the benefit of good compression ratios on animation sequences. Copyright © 2005 John Wiley & Sons, Ltd.

Cited By

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  • (2018)Approximate convex decomposition and transfer for animated meshesACM Transactions on Graphics10.1145/3272127.327502937:6(1-10)Online publication date: 4-Dec-2018
  • (2018)3D Animation Compression Using Affine Transformation Matrix and Principal Component AnalysisIEICE - Transactions on Information and Systems10.1093/ietisy/e90-d.7.1073E90-D:7(1073-1084)Online publication date: 16-Dec-2018

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Information & Contributors

Information

Published In

cover image Computer Animation and Virtual Worlds
Computer Animation and Virtual Worlds  Volume 16, Issue 3-4
CASA 2005
July 2005
372 pages
ISSN:1546-4261
EISSN:1546-427X
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John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 01 July 2005

Author Tags

  1. PCA
  2. compression
  3. mesh decomposition
  4. motion complexity
  5. motion similarity

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Cited By

View all
  • (2018)Approximate convex decomposition and transfer for animated meshesACM Transactions on Graphics10.1145/3272127.327502937:6(1-10)Online publication date: 4-Dec-2018
  • (2018)3D Animation Compression Using Affine Transformation Matrix and Principal Component AnalysisIEICE - Transactions on Information and Systems10.1093/ietisy/e90-d.7.1073E90-D:7(1073-1084)Online publication date: 16-Dec-2018

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