Dynamical systems approach to shape estimation via geometric active deformable models

Haiyan Wang, Bijoy K. Ghosh

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

This paper presents a dynamical systems approach to the problem of shape estimation using the principle of active geometric deformable models. While the basic modeling technique already exists in the literature, we highlight many of its drawbacks and discuss their source and steps to overcome them. We propose a new stopping criterion to address the stopping problem. We also propose to apply level set algorithm to implement the active geometric deformable models, thereby handling topology changes automatically. To alleviate the numerical problems associated with the implementation of the level set algorithm, we propose a new adaptive multigrid narrow band algorithm. All the proposed new changes have been illustrated with experiments with synthetic images and medical images.

Original languageEnglish
Pages (from-to)4149-4154
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume4
StatePublished - 1999
EventThe 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA
Duration: Dec 7 1999Dec 10 1999

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