DocumentCode :
924970
Title :
Segmentation and Modeling of Full Human Body Shape From 3-D Scan Data: A Survey
Author :
Werghi, Naoufel
Author_Institution :
Univ. of Dubai, Dubai
Volume :
37
Issue :
6
fYear :
2007
Firstpage :
1122
Lastpage :
1136
Abstract :
The recent advances in full human body (HB) imaging technology illustrated by the 3D 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.
Keywords :
image scanners; image segmentation; medical image processing; 3D human body scanner; HBS data segmentation; human body imaging technology; human body shape modeling; Biological system modeling; Biomedical imaging; Clothing industry; Costs; Databases; Ergonomics; Humans; Image segmentation; Medical diagnostic imaging; Shape measurement; 3-D human body scanner (HBS); HB shape modeling; HB shape segmentation; human body (HB) shape capture;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher :
ieee
ISSN :
1094-6977
Type :
jour
DOI :
10.1109/TSMCC.2007.905808
Filename :
4344000
Link To Document :
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