Mesh simplification based on quadric error metrics

Ya Dong Wu*, Yu Shu Liu, Chun Xiao Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Mesh simplification can efficiently improve the processing speed of complex 3D models by computer. Mesh simplification requires low time and space complexity, high quality and triangularity compactness. A new algorithm to simplify dense meshes is presented. The algorithm uses edge collapse and error metrics based on squared distances from vertex to associated lines. To reduce the memory consumption, it keeps one float number for each vertex as the history record of the simplification. Examples running on a P I machine show that the algorithm can simplify a model containing 7 ×104 triangles in 12 s, and the number of triangles whose compactnesses are greater than 0. 9 in simplified models is 56%.

Original languageEnglish
Pages (from-to)607-612
Number of pages6
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume20
Issue number5
Publication statusPublished - 2000

Keywords

  • Compactness
  • Error metrics
  • Level of detail
  • Mesh simplification

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