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Proceedings Paper

Three-dimensional mesh simplification using normal variation error metric and modified subdivided edge classification
Author(s): Eun-Young Chang; Chung-Hyun Ahn; Yo-Sung Ho
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Paper Abstract

In order to transmit or store three-dimensional (3-D) mesh models efficiently, we need to simplify them. Although the quadric error metric (QEM) provides fast and accurate geometric simplification of 3-D mesh models, it cannot capture discontinuities faithfully. Recently, an enhanced QEM based on subdivided edge classification has been proposed to handle this problem. Although it can capture discontinuities well, it has slight degradation in the reconstruction quality. In this paper, we propose a novel mesh simplification algorithm where we employ a normal variation error metric, instead of QEM, to resolve the quality degradation issue. We also modify the subdivided edge classification algorithm to be cooperative with the normal variation error metric while preserving discontinuities. We have tested the proposed algorithm with various 3-D VRML models. Simulation results demonstrate that the proposed algorithm provides good approximations while maintaining discontinuities well.

Paper Details

Date Published: 23 June 2003
PDF: 8 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503309
Show Author Affiliations
Eun-Young Chang, Electronics and Telecommunications Research Institute (South Korea)
Chung-Hyun Ahn, Electronics and Telecommunications Research Institute (South Korea)
Yo-Sung Ho, Kwangju Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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