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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.7 P.1266-1274


Human skeleton proportions from monocular data

Author(s):  PENG En, LI Ling

Affiliation(s):  Department of Computing, Curtin University of Technology, Perth, Australia

Corresponding email(s):   perryp@cs.curtin.edu.au, ling@cs.curtin.edu.au

Key Words:  Modeling, Human figure, Monocular

PENG En, LI Ling. Human skeleton proportions from monocular data[J]. Journal of Zhejiang University Science A, 2006, 7(7): 1266-1274.

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author="PENG En, LI Ling",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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A1 - PENG En
A1 - LI Ling
J0 - Journal of Zhejiang University Science A
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1266

This paper introduces a novel method for estimating the skeleton proportions of a human figure from monocular data. The proposed system will first automatically extract the key frames and recover the perspective camera model from the 2D data. The human skeleton proportions are then estimated from the key frames using the recovered camera model without posture reconstruction. The proposed method is tested to be simple, fast and produce satisfactory results for the input data. The human model with estimated proportions can be used in future research involving human body modeling or human motion reconstruction.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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