Extraction of Topological Features from Sequential Volume Data

Authors:
Yukiko Kenmochi;Atsushi Imiya;Toshiaki Nomura;Kazunori Kotani
Affiliations:
-;-;-;-
Venue:
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Year:
2001

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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.