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

Shuntaro Yui, Kenji Hara, Hongbin Zha, Tsutomu Hasegawa

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)122-125
Number of pages4
Journal16th IAPR International Conference on Pattern Recognition
Volume16
Issue number4
Publication statusPublished - Dec 1 2002
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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