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Oct. 17, 2005 to Oct. 21, 2005
ISBN: 0-7695-2334-X
pp: 1117-1123
Mingxuan Sun , University of Kentucky
Ruigang Yang , University of Kentucky
Yun Lin , University of Kentucky
George Landon , University of Kentucky
Brent Seales , University of Kentucky
Michael S. Brown , Nanyang Technological University
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.
Mingxuan Sun, Ruigang Yang, Yun Lin, George Landon, Brent Seales, Michael S. Brown, "Geometric and Photometric Restoration of Distorted Documents", ICCV, 2005, Proceedings. Tenth IEEE International Conference on Computer Vision, Proceedings. Tenth IEEE International Conference on Computer Vision 2005, pp. 1117-1123, doi:10.1109/ICCV.2005.106
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