An efficient and low-error mesh simplification method based on torsion detection
Bin-Shyan Jong, Juin-Ling Tseng, Wen-Hao Yang
In The Visual Computer, 22(1), 2006.
Abstract: To preserve the major characteristics of the simplified model, this study proposes the use of torsion detection to improve the quadric error metric of vertex-pair contraction, and retain the physical features of the models. Besides keeping the physical features of the models, the proposed method also decreases the preprocessing time cost associated with analysis. To verify the conclusion, this research not only presents the effects of simplification and compares them with the vertex-pair contraction, but also employs Metro detection and image comparison to verify the error measurements. The experimental results demonstrate that the proposed method improves the error rate and keeps the precision of the object features efficiently.
Keyword(s): Mesh simplification, Quadric error metric, Torsion detection
BibTeX format:
@article{Jong:2006:AEA,
  author = {Bin-Shyan Jong and Juin-Ling Tseng and Wen-Hao Yang},
  title = {An efficient and low-error mesh simplification method based on torsion detection},
  journal = {The Visual Computer},
  volume = {22},
  number = {1},
  pages = {56--67},
  year = {2006},
}
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