Use of Affine Invariants and Similarity Invariants in Fast Camera-based Document Image Retrieval
Language
Japanese
Type
Proceedings of Japanese Conferences
Authors
Tomohiro Nakai, Koichi Kise, Masakazu Iwamura
Title
Use of Affine Invariants and Similarity Invariants in Fast Camera-based Document Image Retrieval
Journal
Technical Report of IEICE
Vol.
105
No.
PRMU-614
Presentation number
PRMU2005-188
Pages
pp.25-30
Reviewed
Not reviewed
Date
February 2006
Research fields
Document Image Analysis, Document Image Retrieval
Key
Nakai2006_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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