Geometric and photometric restoration of distorted documents
Mingxuan Sun
Ruigang Yang
Lin Yun
Landon, G.
Seales, B.
Brown, M.S.
Dept. of Comput. Sci., Kentucky Univ., Lexington, KY;
This paper appears in: Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
Publication Date: 17-21 Oct. 2005
Volume: 2,
On page(s): 1117-1123 Vol. 2
Location: Beijing,
ISSN: 1550-5499
ISBN: 0-7695-2334-X
INSPEC Accession Number: 8824295
Digital Object Identifier: 10.1109/ICCV.2005.106
Current Version Published: 2005-12-05
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
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