Restoring Warped Document Images through 3D Shape Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Form Dropout Method based on Line-elimination and Image-subtraction
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Shape from shading for the digitization of curved documents
Machine Vision and Applications
Shape from contour for the digitization of curved documents
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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Previous researches on nonlinear shape restoration are based on the assumptions that the original shapes and distortions of the images have known formulations under certain conditions. The main contribution of this research is the development of a new restoration algorithm, called Multi-Steps Restoration. The algorithm is based on a liner interpolation theory that is able to detect and restore nonlinear shape distortions in any irregular quadrilateral-shaped patterns. The main idea of the algorithm is the use of two-dimensional spline functions in bicubic, biquadratic, and/or bilinear models to approximate the three-dimensional nonlinear distortion curves. The performance of the approach shown by experiment is promising.