Presentation 2006-02-23
Use of Affine Invariants and Similarity Invariants in Fast Camera-based Document Image Retrieval
Tomohiro NAKAI, Koichi KISE, Masakazu IWAMURA,
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Abstract(in English) We have already proposed a method of camera-based document image retrieval which utilizes perspective invariants called cross-ratios. However, the cross-ratios have defects that they are unstable against changes of positions of feature points. In this paper, we evaluate the use of affine invariants and similarity invariants which are considered to be more stable. Experimental results have shown that higher accuracy is obtained with affine invarinats even under perspective distortion. It is also shown that similarity invariants are not suitable for retrieval of largely distorted images since they are not robust to perspective distortion.
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Keyword(in English) Document image retrieval / Digital camera / Affine invariant / Similarity invariant / Hashing / Voting
Paper # TL2005-53,PRMU2005-188
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Committee PRMU
Conference Date 2006/2/16(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) Use of Affine Invariants and Similarity Invariants in Fast Camera-based Document Image Retrieval
Sub Title (in English)
Keyword(1) Document image retrieval
Keyword(2) Digital camera
Keyword(3) Affine invariant
Keyword(4) Similarity invariant
Keyword(5) Hashing
Keyword(6) Voting
1st Author's Name Tomohiro NAKAI
1st Author's Affiliation Graduate School of Engineering, Osaka Prefecture University()
2nd Author's Name Koichi KISE
2nd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
3rd Author's Name Masakazu IWAMURA
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
Date 2006-02-23
Paper # TL2005-53,PRMU2005-188
Volume (vol) vol.105
Number (no) 614
Page pp.pp.-
#Pages 6
Date of Issue