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Author: Naoufel Werghi

Affiliation: Dubai University College, United Arab Emirates

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Whole Human Body Scanner, Human Body Scan Segmentation, Human Body Shape Modelling.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control ; Surface Geometry and Shape

Abstract: The recent advances in full human body imaging technology illustrated by the 3D human body scanner (HBS), a device delivering full human body shape data, opened up large perspectives for the deployment of this technology in various fields (e.g. clothing industry, anthropology, entertainment). Yet this advance brought challenges on how to process and interpret the data delivered by the HBS in order to bridge the gap between this technology and potential applications. This paper surveys the literature on methods, for human body scan data segmentation and modelling, that attempted to overcome these challenges. It also discusses and evaluated the different approaches with respect to several requirements.

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Paper citation in several formats:
Werghi, N. (2006). SEGMENTATION AND MODELLING OF FULL HUMAN BODY SHAPE FROM 3D SCAN DATA: A SURVEY. In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6; ISSN 2184-4321, pages 189-197. DOI: 10.5220/0001367401890197

@conference{visapp06,
author={Naoufel Werghi.},
title={SEGMENTATION AND MODELLING OF FULL HUMAN BODY SHAPE FROM 3D SCAN DATA: A SURVEY},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={189-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001367401890197},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - SEGMENTATION AND MODELLING OF FULL HUMAN BODY SHAPE FROM 3D SCAN DATA: A SURVEY
SN - 972-8865-40-6
IS - 2184-4321
AU - Werghi, N.
PY - 2006
SP - 189
EP - 197
DO - 10.5220/0001367401890197

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