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3D Human Body Measurement by Multiple Range Images
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.2618th International Conference on Patt ...
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Koichiro Yamauchi, Yukio Sato, "3D Human Body Measurement by Multiple Range Images," Pattern Recognition, International Conference on, vol. 4, pp. 833-836, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.26,
author = {Koichiro Yamauchi and Yukio Sato},
title = {3D Human Body Measurement by Multiple Range Images},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {833-836},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.26},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - 3D Human Body Measurement by Multiple Range Images
SN - 1051-4651
SP833
EP836
A1 - Koichiro Yamauchi,
A1 - Yukio Sato,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Koichiro Yamauchi, Keio University
Yukio Sato, Keio University
A compact and high-speed 3D human body measurement system is proposed. Whole human body data which we can take from systems that have been developed with a few viewpoints is not successfully acquired due to occlusion. It is proposed a method that can obtain successful data by allocating multiple rangefinders correctly. Four compact rangefinders are installed in a pole. Those four pole units with 16 rangefinders are assigned around a human. Multiple viewpoint range images allow the 3D shape reconstruction for a human body. The measurement time is 2 seconds and the average error is found to be 1.88 mm. In this paper, system configuration, calibration and experimental results are described.
Citation:
Koichiro Yamauchi, Yukio Sato, "3D Human Body Measurement by Multiple Range Images," icpr, vol. 4, pp.833-836, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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