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