LOD modelling of polygonal models

Muhammad Hussain, Yoshihiro Okada, Koichi Niijima

研究成果: Contribution to journalArticle

7 引用 (Scopus)


An automatic edge-collapse based simplification method has been proposed for decimation of polygonal models and generating their LODs (Levels of detail). The measure of geometric fidelity employed is motivated by the normal space deviation of a polygonal model arising during its decimation process and forces the algorithm to minimize the normal space deviation. In spite of the global nature of the evaluation of geometric deviation, the algorithm is memory efficient and involves less execution time then the state-of-the art simplification algorithms. This automatically prevents the creation of folds and automatically preserves visually important features of the model even at low levels of detail. LODs generated by our method compare favorably with those produced by the standard QEM-based algorithm QSlim [8] in terms of the mean and maximum geometric errors, whereas its performance in preserving normal space of the original model is better than that of QSlim.

ジャーナルMachine Graphics and Vision
出版物ステータス出版済み - 2005

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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  • これを引用

    Hussain, M., Okada, Y., & Niijima, K. (2005). LOD modelling of polygonal models. Machine Graphics and Vision, 14(3), 325-343.