Presentation 2010-02-15
A Note on Upgrade of 3D Model Based Pose Estimation Using Parametric Eigenspace Method
Kohsuke KADONO, Takahiro OGAWA, Miki HASEYAMA,
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Abstract(in English) This paper presents a pose estimation method using the parametric eigenspace method. The proposed method obtains an eigenspace from a set of silhouette images which are generated from the 3D model of an articulated object. Next, a manifold is constructed by interpolating the silhouette images projected to the eigenspace. Furthermore, the proposed method projects a silhouette of a target object to the eigenspace and estimates optimal parameters by calculating a distance between the projected silhouette and the manifold. In this procedure, we represent the target articulated object as a tree structure. Then, by calculating the parameters from a root node, we realize the reduction of pose estimation.
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Keyword(in English) parametric eigenspace method / articulated object / pose estimation / 3D model / silhouette
Paper # ITS2009-37,IE2009-131
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Committee ITS
Conference Date 2010/2/8(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on Upgrade of 3D Model Based Pose Estimation Using Parametric Eigenspace Method
Sub Title (in English)
Keyword(1) parametric eigenspace method
Keyword(2) articulated object
Keyword(3) pose estimation
Keyword(4) 3D model
Keyword(5) silhouette
1st Author's Name Kohsuke KADONO
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Takahiro OGAWA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Miki HASEYAMA
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2010-02-15
Paper # ITS2009-37,IE2009-131
Volume (vol) vol.109
Number (no) 414
Page pp.pp.-
#Pages 4
Date of Issue