Presentation 2005-02-25
Camera Arrangement for Object Recognition using Multiple-Viewpoint Images
Osanori MATSUGANO, Tomokazu TAKAHASHI, Ichiro IDE, Yoshito MEKADA, Hiroshi MURASE,
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Abstract(in English) In this paper, we propose a method to recognize objects and estimate their pose using multiple-viewpoint images, and also a method to estimate the optimal camera arrangement to recognize the objects accurately. In multiple-viewpoint object recognition, camera arrangement is important, since it affects the recognition accuracy directly. In general, the optimal camera arrangement to recognize one object set is determined by examining the recognition accuracy for all possible camera arrangements, at the expense of a great amount of time. In order to avoid this procedure, this paper proposes a method to estimate the optimal camera arrangement to recognize given objects accurately, refering to the geometric feature of the manihold in the eigenspace, projected by training object images. We evaluated the method through an experiment, applied to four object sets in order to compare the pose estimation ability with the result from the proposed multiple-viewpoint object recognition method, which showed that the proposed method can estimate the optimal camera arrangement for multiple-viewpoint object recognition.
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Keyword(in English) Multiple-viewpoint / Camera arrangement / Parametric eigenspace / Manihold
Paper # NLC2004-119,PRMU2004-201
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Conference Information
Committee NLC
Conference Date 2005/2/18(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Camera Arrangement for Object Recognition using Multiple-Viewpoint Images
Sub Title (in English)
Keyword(1) Multiple-viewpoint
Keyword(2) Camera arrangement
Keyword(3) Parametric eigenspace
Keyword(4) Manihold
1st Author's Name Osanori MATSUGANO
1st Author's Affiliation Graduate School of Infomation Science, Nagoya University()
2nd Author's Name Tomokazu TAKAHASHI
2nd Author's Affiliation Graduate School of Infomation Science, Nagoya University
3rd Author's Name Ichiro IDE
3rd Author's Affiliation Graduate School of Infomation Science, Nagoya University
4th Author's Name Yoshito MEKADA
4th Author's Affiliation Life System Science and Technology, Chukyo University
5th Author's Name Hiroshi MURASE
5th Author's Affiliation Graduate School of Infomation Science, Nagoya University
Date 2005-02-25
Paper # NLC2004-119,PRMU2004-201
Volume (vol) vol.104
Number (no) 668
Page pp.pp.-
#Pages 6
Date of Issue