Presentation 2006-09-08
Retrieval-Combination Approach to Estimating 3D Human Pose from A Monocular Image
Hui Cao, Noboru Ohnishi, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo,
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Abstract(in English) The objective of this work is to estimate 3D human pose from a monocular image. We propose a novel retrieval-combination approach that exploits the wide capability of example-based approaches and the flexibility of parts-based approaches. Instead of storing and searching for similar full-body examples, we adopt a half-body representation (i.e., upper-body and lower-body) to reduce a large full-body database into a compact half-body database that has good generalization ability to recover millions of poses by valid half-body combinations. For a given input image, half-body candidates are first retrieved from databases by partial shape matching. Valid half-body combinations of these candidates are selected based on a learned combination constraint, and then we choose the optimal combination(s) in a coarse-to-fine evaluation method. We show good experimental results of pose estimation for both synthetic and real images. Our approach has lower computational and space complexities than example-based approaches and ensures better realistic 3D pose estimates than parts-based approaches.
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Paper # PRMU2006-71
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Committee PRMU
Conference Date 2006/9/1(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Retrieval-Combination Approach to Estimating 3D Human Pose from A Monocular Image
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Keyword(1)
1st Author's Name Hui Cao
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Noboru Ohnishi
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Yoshinori Takeuchi
3rd Author's Affiliation Infomation Security Promotion Agency, Nagoya University
4th Author's Name Tetsuya Matsumoto
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Hiroaki Kudo
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2006-09-08
Paper # PRMU2006-71
Volume (vol) vol.106
Number (no) 229
Page pp.pp.-
#Pages 8
Date of Issue