Michael S. Brown
ABSTRACT
We present a technique to correct image distortion that can occur when library materials are imaged by cameras. Our approach provides a general framework to undo a variety of common distortions, including binder curl, fold distortion, and combinations of the two. Our algorithm is described and demonstrated on several examples.
- Brown, M. S. et al. "Document Restoration Using 3D Shape", Int'l Conference on Computer Vision (ICCV'01), Vancouver, July 2001.Google Scholar
- Brown, M. S. et al. "Digital Atheneum: New Approaches for Preserving, Restoring, and Analyzing Damaged Manuscripts", JCDL '01, Roanoke, June 2001. Google ScholarDigital Library
- Farin, G. "Curves and Surfaces for Computer-Aided Geometric Design", Academic Press, 4th Edition, 1997. Google ScholarDigital Library
- Gatos, B. et al. "Skew detection in line position determination in digitized documents", In Pattern Recognition, 30(9):1505--1519, 1997.Google ScholarCross Ref
- Pilu, M. "Undoing Paper Curl Distortion Using Applicable Surfaces", Computer Vision and Pattern Recognition (CVPR '01), Hawaii, Dec 2001.Google Scholar
- US Patent 5, 084, 611, "Document Reading Apparatus for Detection of Curvature in Documents", Minolta Camera, Kabushiki Kaisha, Jan 1992.Google Scholar
Index Terms
- Correcting common distortions in camera-imaged library materials
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