Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12216/151
Title: Segmentation and modeling of full human body shape from 3-D scan data: A survey
Authors: Werghi, N. 
Issue Date: 2007
Journal: IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 
Abstract: The recent advances in full human body (HB) imaging technology illustrated by the 3-D human body scanner (HBS), a device delivering full HB shape data, opened up large perspectives for the deployment of this technology in various fields such as the clothing industry, anthropology, and entertainment. However, these advances also 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 presents a literature survey of research work on HBS data segmentation and modeling aiming at overcoming these challenges, and discusses and evaluates different approaches with respect to several requirements. © 2007 IEEE.
URI: http://hdl.handle.net/20.500.12216/151
DOI: 10.1109/TSMCC.2007.905808
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