Use of Affine Invariants and Similarity Invariants in Fast Camera-based Document Image Retrieval

LanguageJapanese
TypeProceedings of Japanese Conferences
AuthorsTomohiro Nakai, Koichi Kise, Masakazu Iwamura
TitleUse of Affine Invariants and Similarity Invariants in Fast Camera-based Document Image Retrieval
JournalTechnical Report of IEICE
Vol.105
No.PRMU-614
Presentation numberPRMU2005-188
Pagespp.25-30
ReviewedNot reviewed
DateFebruary 2006
Research fieldsDocument Image Analysis, Document Image Retrieval
KeyNakai2006_IEICEPRMU_Use (id=408)

Abstract

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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