Lod modelling of polygonal models based on multiple choice optimization

Muhammad Hussain, Yoshihiro Okada, Koichi Niijima

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 引用 (Scopus)

抜粋

We propose a new automatic method for generating LODs of a given polygonal model that is based on edge collapse simplification operation and exploits a variant of multiple choice optimization (MCO) framework. In an edge collapse algorithm, the way how to measure the geometric deviation caused by an edge collapse transformation plays a key role. We introduce a new measure of local geometric deviation and a memory efficient method for its global evaluation; these local and global evaluation techniques are simple to implement, involve short execution times, and preserve geometric features and discontinuities automatically. Results and numerical comparisons show that our algorithm generates simplified models at different LODs of good visual fidelity, and consumes less memory and performs better in automatically preserving visually important features than other methods especially QSlim.

元の言語英語
ホスト出版物のタイトルProceedings - 10th International Multimedia Modelling Conference, MMM 2004
編集者Y.-P.P. Chen
ページ203-210
ページ数8
DOI
出版物ステータス出版済み - 2004
イベントProceedings - 10th International Multimedia Modelling Conference, MMM 2004 - Brisbana, オーストラリア
継続期間: 1 5 20041 7 2004

出版物シリーズ

名前Proceedings - 10th International Multimedia Modelling Conference, MMM 2004

その他

その他Proceedings - 10th International Multimedia Modelling Conference, MMM 2004
オーストラリア
Brisbana
期間1/5/041/7/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

フィンガープリント Lod modelling of polygonal models based on multiple choice optimization' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Hussain, M., Okada, Y., & Niijima, K. (2004). Lod modelling of polygonal models based on multiple choice optimization. : Y-PP. Chen (版), Proceedings - 10th International Multimedia Modelling Conference, MMM 2004 (pp. 203-210). (Proceedings - 10th International Multimedia Modelling Conference, MMM 2004). https://doi.org/10.1109/MULMM.2004.1264987