Extraction of Topological Features from Sequential Volume Data

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.KeywordsTime SlotEuler CharacteristicTopological FeatureIncremental AlgorithmDeformable ObjectThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.