A simplification error metric descriptor based on texture maintenance

Fang Wan, Fazhi He, Chen Feng, Fei Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a new error metric descriptor based on the QEM algorithm to simplify the geometry model with texture. The descriptor takes weight of curvature of the vertex as one of the influential factor. Also, the descriptor takes into account the visual importance of each edge which is attached to the model through edge detection algorithm of image processing. In this way, the simplification can make the sharp-simplified model keep a similar appearance and shape feature. Meanwhile, for the descriptor is extended from the QEM error metric and can also be acquired with its matrix computing, the algorithm is with good speed and high performance.

Original languageEnglish (US)
Title of host publication2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
DOIs
StatePublished - 2010
Event2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010 - Wuhan, China
Duration: Apr 23 2010Apr 25 2010

Publication series

Name2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010

Conference

Conference2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
CountryChina
CityWuhan
Period4/23/104/25/10

Keywords

  • Edge detection
  • Error metric descriptor
  • QEM

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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