DocumentCode :
2589801
Title :
Geometric and photometric restoration of distorted documents
Author :
Sun, Mingxuan ; Yang, Ruigang ; Yun, Lin ; Landon, George ; Seales, Brent ; Brown, Michael S.
Author_Institution :
Dept. of Comput. Sci., Kentucky Univ., Lexington, KY
Volume :
2
fYear :
2005
fDate :
17-21 Oct. 2005
Firstpage :
1117
Abstract :
We present a system to restore the 2D content printed on distorted documents. Our system works by acquiring a 3D scan of the document´s surface together with a high-resolution image. Using the 3D surface information and the 2D image, we can ameliorate unwanted surface distortion and effects from non-uniform illumination. Our system can process arbitrary geometric distortions, not requiring any pre-assumed parametric models for the document´s geometry. The illumination correction uses the 3D shape to distinguish content edges from illumination edges to recover the 2D content´s reflectance image while making no assumptions about light sources and their positions. Results are shown for real objects, demonstrating a complete framework capable of restoring geometric and photometric artifacts on distorted documents
Keywords :
computational geometry; document image processing; image restoration; photometry; 2D content reflectance image; 3D scan; 3D shape; 3D surface information; arbitrary geometric distortion; distorted document; document geometry; geometric restoration; high-resolution image; illumination correction; photometric restoration; surface distortion; Computer science; Geometry; Image restoration; Light sources; Lighting; Parametric statistics; Photometry; Reflectivity; Shape; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1550-5499
Print_ISBN :
0-7695-2334-X
Type :
conf
DOI :
10.1109/ICCV.2005.106
Filename :
1544846
Link To Document :
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