Presentation 2000/7/7
IE2000-29 / PRMU2000-54 / MVE2000-58 Object Recognition Using Orientation Code Matching
Farhan Ullah, Shun'ichi Kaneko, Satoru Igarashi,
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Abstract(in English) A new method for object recognition in the real world scene is proposed. Conventional template matching schemes tend to fail in presence of irregularities and ill-conditions like background variations, illumination fluctuations resulting from shadowing or highlighting etc. The proposed scheme is robust aginst such irregularities as it is based on matching gradient information around each pixel, computed in the form of orientation codes, rather than the gray levels directly. Experimental results from real world scenes demonstrate the effectiveness of the proposed method in the presence of different potential causes of mismatches in real world.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Object recognition / matching / robustness / orientation code / object tracking
Paper # IE2000-29,PRMU2000-54,MVE2000-58
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Conference Information
Committee MVE
Conference Date 2000/7/7(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) IE2000-29 / PRMU2000-54 / MVE2000-58 Object Recognition Using Orientation Code Matching
Sub Title (in English)
Keyword(1) Object recognition
Keyword(2) matching
Keyword(3) robustness
Keyword(4) orientation code
Keyword(5) object tracking
1st Author's Name Farhan Ullah
1st Author's Affiliation Hokkaido University, Graduate School of Engineering()
2nd Author's Name Shun'ichi Kaneko
2nd Author's Affiliation Hokkaido University, Graduate School of Engineering
3rd Author's Name Satoru Igarashi
3rd Author's Affiliation Hokkaido University, Graduate School of Engineering
Date 2000/7/7
Paper # IE2000-29,PRMU2000-54,MVE2000-58
Volume (vol) vol.100
Number (no) 184
Page pp.pp.-
#Pages 6
Date of Issue