QEM-based mesh simplification with effective feature-preserving

Authors:
Wei Lu;Dinghao Zeng;Jingui Pan
Affiliations:
State Key Lab for Novel Software Technology, Computer Science Editorial, Department of Computer Science and Technology, Nanjing University, Nanjing, China;State Key Lab for Novel Software Technology, Computer Science Editorial, Department of Computer Science and Technology, Nanjing University, Nanjing, China;State Key Lab for Novel Software Technology, Computer Science Editorial, Department of Computer Science and Technology, Nanjing University, Nanjing, China
Venue:
ICVR'07 Proceedings of the 2nd international conference on Virtual reality
Year:
2007

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Abstract

To preserve appearance attributes in a 3D model, a novel mesh simplification is proposed in this work based on the Quadric Error Metric (QEM). We make use of half-edge collapse method for mesh simplification and modify the QEM to solve the break between different texture coordinates. After analyzing several cases of the collapsing operation, a new formula on the cost of edge contraction is obtained to eliminate aberrances. Experimental results demonstrate that compared with other state-of-the-art techniques our algorithm can achieve satisfactory efficiency with desirable geometry and feature-preserving.