Presentation 2003/3/7
Appearance-based Object Recognition using Multi-dimensional Feature Rectangle
Kazuya ASAHI, Toshinori WATANABE, Ken SUGAWARA, Takanori YOKOYAMA,
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Abstract(in English) As one of object recognition schemes, we are investigating FRCM that expresses the feature of a to-be-recognized object by a multi-dimensional rectangle and recognizes it by using it's similarities to pre-instructed object's feature rectangles. We propose a new scheme of feature rectangle correlation between multi-dimensional rectangles in FRCM. Through experiments using COIL-20 we prove that a proposed method can realize, using only a few training data, a robust recognition under changes in object placement.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Shaded Image / Minimum Spanning Tree / Object Recognition / Correlation
Paper # PRMU2002-259
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Conference Information
Committee PRMU
Conference Date 2003/3/7(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Appearance-based Object Recognition using Multi-dimensional Feature Rectangle
Sub Title (in English)
Keyword(1) Shaded Image
Keyword(2) Minimum Spanning Tree
Keyword(3) Object Recognition
Keyword(4) Correlation
1st Author's Name Kazuya ASAHI
1st Author's Affiliation Graduate School of Information Systems, Universtity of Electro-Communications()
2nd Author's Name Toshinori WATANABE
2nd Author's Affiliation Graduate School of Information Systems, Universtity of Electro-Communications
3rd Author's Name Ken SUGAWARA
3rd Author's Affiliation Graduate School of Information Systems, Universtity of Electro-Communications
4th Author's Name Takanori YOKOYAMA
4th Author's Affiliation Graduate School of Information Systems, Universtity of Electro-Communications
Date 2003/3/7
Paper # PRMU2002-259
Volume (vol) vol.102
Number (no) 708
Page pp.pp.-
#Pages 6
Date of Issue