A discrete Reeb graph approach for the segmentation of human body scans

Xiao, Y., Siebert, J.P. and Werghi, N. (2003) A discrete Reeb graph approach for the segmentation of human body scans. In: Fourth International Conference on 3-D Digital Imaging and Modeling, Banff, Alberta, Canada, 6-10 October 2003, pp. 378-385. ISBN 9780769519913 (doi:10.1109/IM.2003.1240272)

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Publisher's URL: http://dx.doi.org/10.1109/IM.2003.1240272

Abstract

Segmentation of 3D human body (HB) scan is a very challenging problem in applications exploiting human scan data. To tackle this problem, we propose a topological approach based on discrete Reeb graph (DRG) which is an extension of the classical Reeb graph to unorganized cloud of 3D points. The essence of the approach is detecting critical nodes in the DRG thus permitting the extraction of branches that represent the body parts. 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, moderate reference 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., Siebert, J.P., and Werghi, N.
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:9780769519913
Copyright Holders:Copyright © 2003 Institute of Electrical and Electronics Engineers
First Published:First published in Proceedings of the Fourth International Conference on 3-D Digital Imaging and Modeling
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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