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Extraction of Topological Features from Sequential Volume Data
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 2059/2001 |
| Book | Visual Form 2001 |
| DOI | 10.1007/3-540-45129-3 |
| Copyright | 2001 |
| ISBN | 978-3-540-42120-7 |
| DOI | 10.1007/3-540-45129-3_30 |
| Pages | 333-345 |
| Subject Collection | Computer Science |
| SpringerLink Date | Monday, January 01, 2001 |
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Extraction of Topological Features from Sequential Volume Data
Yukiko Kenmochi6, 7  , Atsushi Imiya8 , Toshiaki Nomura6 and Kazunori Kotani6
| (6) |
School of Information Science, JAIST, Japan |
| (7) |
Laboratoire A2SI, ESIEE Cité Descartes, B.P. 99, 93162 Noise-Le-Grand Cedex, France |
| (8) |
Department of Information and Image Sciences, Chiba Univ., Japan |
Abstract
In this paper, we present an incremental algorithm to efficiently extract topological features of deformable objects from
a given sequential volume data. Even though these features are global shape information, we show that there are possibilities
that we can extract them by local operations avoiding global operations.
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