Presentation 2007-02-22
Estimating 3D Human Pose from Silhouette Image using Approximate Chamfer Distance and Kernel Subspace
Hui CAO, Noboru OHNISHI, Toshimitsu TANAKA, Noboru SUGIE,
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Abstract(in English) We propose a novel method for estimating 3D human pose from silhouette image. The proposed method includes two major parts: obtaining candidate poses and then re-ranking them. For a query image, a certain number of candidate poses are retrieved efficiently from a two million poses database using a novel approximate chamfer distance. Then, Kernel CCA based re-ranking algorithm assists to improve the rank order of candidate poses. We have demonstrated the effectiveness of our method on synthetic images involving large pose variations.
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Keyword(in English) Human Pose Estimation / Chamfer Distance / Eigenspace Approximation / Kernel CCA
Paper # PRMU2006-215,HIP2006-108
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Committee HIP
Conference Date 2007/2/15(1days)
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Registration To Human Information Processing (HIP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimating 3D Human Pose from Silhouette Image using Approximate Chamfer Distance and Kernel Subspace
Sub Title (in English)
Keyword(1) Human Pose Estimation
Keyword(2) Chamfer Distance
Keyword(3) Eigenspace Approximation
Keyword(4) Kernel CCA
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 Toshimitsu TANAKA
3rd Author's Affiliation Graduate School of Science and Technology, Meijo University
4th Author's Name Noboru SUGIE
4th Author's Affiliation Graduate School of Science and Technology, Meijo University
Date 2007-02-22
Paper # PRMU2006-215,HIP2006-108
Volume (vol) vol.106
Number (no) 540
Page pp.pp.-
#Pages 6
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