A fast narrow band method and its application in topology-adaptive 3-D modeling

Shuntaro Yui, Kenji Hara, Hongbin Zha, Tsutomu Hasegawa

研究成果: Contribution to journalArticle査読

6 被引用数 (Scopus)

抄録

We present a new fast method of modeling 3-D objects of arbitrary topology. The Level Set Methods have been used by many researchers to recover 3-D shapes of arbitrary topology. However, those methods are computationally inefficient. To reduce the computational cost, a new method named FNB (Fast Narrow Band Method) is proposed. FNB is based on the Narrow Band Method (NB) which is the well-known fast method of the Level Set Method. The main idea is to exploit the combinative use of the narrow band and the approximate distance from the front. The method has been applied in several experiments using range data and we find that our method is over 50 times faster than NB.

本文言語英語
ページ(範囲)122-125
ページ数4
ジャーナル16th IAPR International Conference on Pattern Recognition
16
4
出版ステータス出版済み - 12 1 2002
外部発表はい

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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