A topological approach for segmenting human body shape

Xiao, Y., Werghi, N. and Siebert, J.P. (2003) A topological approach for segmenting human body shape. In: 12th International Conference on Image Analysis and Processing, Mantova, Italy, 17-19 September 2003, pp. 82-87. ISBN 9780769519487 (doi:10.1109/ICIAP.2003.1234029)

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Publisher's URL: http://dx.doi.org/10.1109/ICIAP.2003.1234029

Abstract

Segmentation of a 3D human body, is a very challenging problem in applications exploiting human scan data. To tackle this problem, the paper proposes a topological approach based on the discrete Reeb graph (DRG) which is an extension of the classical Reeb graph to handle unorganized clouds of 3D points. The essence of the approach concerns detecting critical nodes in the DRG, thereby permitting the extraction of branches that represent parts of the body. Because the human body shape representation is built upon global topological features that are preserved so long as the whole structure of the human body does not change, our approach is quite robust against noise, holes, irregular sampling, frame change and posture variation. Experimental results performed on real scan data demonstrate the validity of our method.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Siebert, Dr Jan
Authors: Xiao, Y., Werghi, N., and Siebert, J.P.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Publisher:Institute of Electrical and Electronics Engineers
ISBN:9780769519487
Copyright Holders:Copyright © 2003 Institute of Electrical and Electronics Engineers
First Published:First published in Proceedings 12th International Conference on Image Analysis and Processing, 2003
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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