Presentation 2002/6/21
Appearance Matching by Qualitative Trinary Representation
Osamu YAMAGUCHI, Kazuhiro FUKUI,
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Abstract(in English) We propose a new measure for appearance matching by qualitative trinary representation (QTR) which is based on equivalence relation or magnitude relation of neighboring pixel values. For each image, QTR assigns two trinary images based on the sign of difference between neighboring pixel values concerning vertical and horizontal direction, and determines the similarity by matching the trinary images. The representation has robustness against partial occlusion, or some intensity conversion. In this paper, we describe properties of QTR and compare them with those of conventional methods through several experimental results. Since QTR is computed only by the operations of comparison, addition and subtraction, the matching cost can be kept very low. Moreover, a hybrid matching with sufficiently high speed and accuracy is feasible by applying QTR to a quantitative matching at the pre-processing stage.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Appearance Matching / Qualitative Trinary Representation / Intensity Invariance / Hybrid Matching
Paper # PRMU2002-34
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Conference Information
Committee PRMU
Conference Date 2002/6/21(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 Matching by Qualitative Trinary Representation
Sub Title (in English)
Keyword(1) Appearance Matching
Keyword(2) Qualitative Trinary Representation
Keyword(3) Intensity Invariance
Keyword(4) Hybrid Matching
1st Author's Name Osamu YAMAGUCHI
1st Author's Affiliation Corporate Research and Development Center, TOSHIBA Corporation()
2nd Author's Name Kazuhiro FUKUI
2nd Author's Affiliation Corporate Research and Development Center, TOSHIBA Corporation
Date 2002/6/21
Paper # PRMU2002-34
Volume (vol) vol.102
Number (no) 156
Page pp.pp.-
#Pages 8
Date of Issue