@inproceedings{a0d58e5ac86d43efb7c6fe0b78d3a5da,
title = "A discrete Reeb graph approach for the segmentation of human body scans",
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.",
keywords = "Arm, Data mining, Educational institutions, Humans, Image segmentation, Leg, Noise robustness, Noise shaping, Shape, Torso",
author = "Y. Xiao and P. Siebert and N. Werghi",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003 ; Conference date: 06-10-2003 Through 10-10-2003",
year = "2003",
doi = "10.1109/IM.2003.1240272",
language = "British English",
series = "Proceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM",
publisher = "IEEE Computer Society",
pages = "378--385",
booktitle = "Proceedings - 4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003",
address = "United States",
}