Experimental Evaluation of Document Image Mosaicing Based on Local Arrangements of Feature Points
Language
Japanese
Type
Proceedings of Japanese Conferences
Authors
Tomohiro Nakai, Koichi Kise, Masakazu Iwamura
Title
Experimental Evaluation of Document Image Mosaicing Based on Local Arrangements of Feature Points
Journal
IEICE Technical Report
Vol.
108
No.
432
Presentation number
PRMU2008-234
Pages
pp.157-162
Reviewed
Not reviewed
Date
February 2009
Research fields
Document Image Analysis, Document Image Retrieval
Key
Nakai2009_IEICEPRMU_Experimental (id=1056)
Abstract
In this paper we propose a mosaicing method of camera-captured document images. Since document images captured using digital cameras suffer from perspective distortion, their alignment is a difficult task for previous methods. In the proposed method, correspondences of feature points are calculated using an image retrieval method LLAH. Document images are aligned using a perspective transformation parameter estimated from the correspondences. Since LLAH is invariant to perspective distortion, feature points can be matched without compensation of perspective distortion. Experimental results show that document images captured by a digital camera can be stitched using the proposed method.
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