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Proceedings Paper

A 3D surface imaging system for assessing human obesity
Author(s): B. Xu; W. Yu; M. Yao; X. Yao; Q. Li; M. R. Pepper; J. H. Freeland-Graves
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Paper Abstract

The increasing prevalence of obesity suggests a need to develop a convenient, reliable and economical tool for assessment of this condition. Three-dimensional (3D) body surface imaging has emerged as an exciting technology for estimation of body composition. This paper presents a new 3D body imaging system, which was designed for enhanced portability, affordability, and functionality. In this system, stereo vision technology was used to satisfy the requirements for a simple hardware setup and fast image acquisitions. The portability of the system was created via a two-stand configuration, and the accuracy of body volume measurements was improved by customizing stereo matching and surface reconstruction algorithms that target specific problems in 3D body imaging. Body measurement functions dedicated to body composition assessment also were developed. The overall performance of the system was evaluated in human subjects by comparison to other conventional anthropometric methods, as well as air displacement plethysmography, for body fat assessment.

Paper Details

Date Published: 2 September 2009
PDF: 12 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431U (2 September 2009); doi: 10.1117/12.824502
Show Author Affiliations
B. Xu, The Univ. of Texas at Austin (United States)
W. Yu, The Univ. of Texas at Austin (United States)
M. Yao, The Univ. of Texas at Austin (United States)
X. Yao, The Univ. of Texas at Austin (United States)
Q. Li, The Univ. of Texas at Austin (United States)
M. R. Pepper, The Univ. of Texas at Austin (United States)
J. H. Freeland-Graves, The Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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