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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discrete_reeb_graph.pdf 1MB |
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 |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Siebert, Dr Paul |
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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