We present a framework for acquiring and restoring images of warped documents. The purpose of our restoration is to create a planar representation of a once planar document that has undergone an arbitrary and unknown rigid deformation. To accomplish this restoration, our framework acquires and flattens the 3D shape of a warped document to determine a nonlinear image transform that can correct for image distortion caused by the document's shape. Our framework is designed for use in library and museum digitization efforts where very old and badly damaged manuscripts are imaged
Due to storage conditions and material’s non-planar shape, geometric distortion of the 2-D content i...
We present a system to restore the 2D content printed on distorted documents. Our system works by ac...
10.1109/TPAMI.2007.70831IEEE Transactions on Pattern Analysis and Machine Intelligence304728-734ITPI
Abstract — In document digitization through camera-based systems, simple imaging setups often produc...
10.1109/WACV.2007.65Proceedings - IEEE Workshop on Applications of Computer Vision, WACV 200
Recently, high resolution digital cameras have made the digitization process more flexible and conve...
10.1109/ICDAR.2005.8Proceedings of the International Conference on Document Analysis and Recognition...
Due to storage conditions and material's non-planar shape, geometric distortion of the two-dimension...
We present an interactive application for browsing severely damaged documents and other cultural art...
10.1109/ICPR.2006.997Proceedings - International Conference on Pattern Recognition1642-645PICR
The high quality digitalisation of warped documents is still a big problem for most scanner technolo...
10.1109/ICDAR.2005.252Proceedings of the International Conference on Document Analysis and Recogniti...
10.1109/TPAMI.2006.40IEEE Transactions on Pattern Analysis and Machine Intelligence282195-208ITPI
We present a system to restore the 2D content printed on distorted documents. Our system works by ac...
Due to storage conditions and material’s non-planar shape, geometric distortion of the 2-D content i...
Due to storage conditions and material’s non-planar shape, geometric distortion of the 2-D content i...
We present a system to restore the 2D content printed on distorted documents. Our system works by ac...
10.1109/TPAMI.2007.70831IEEE Transactions on Pattern Analysis and Machine Intelligence304728-734ITPI
Abstract — In document digitization through camera-based systems, simple imaging setups often produc...
10.1109/WACV.2007.65Proceedings - IEEE Workshop on Applications of Computer Vision, WACV 200
Recently, high resolution digital cameras have made the digitization process more flexible and conve...
10.1109/ICDAR.2005.8Proceedings of the International Conference on Document Analysis and Recognition...
Due to storage conditions and material's non-planar shape, geometric distortion of the two-dimension...
We present an interactive application for browsing severely damaged documents and other cultural art...
10.1109/ICPR.2006.997Proceedings - International Conference on Pattern Recognition1642-645PICR
The high quality digitalisation of warped documents is still a big problem for most scanner technolo...
10.1109/ICDAR.2005.252Proceedings of the International Conference on Document Analysis and Recogniti...
10.1109/TPAMI.2006.40IEEE Transactions on Pattern Analysis and Machine Intelligence282195-208ITPI
We present a system to restore the 2D content printed on distorted documents. Our system works by ac...
Due to storage conditions and material’s non-planar shape, geometric distortion of the 2-D content i...
Due to storage conditions and material’s non-planar shape, geometric distortion of the 2-D content i...
We present a system to restore the 2D content printed on distorted documents. Our system works by ac...
10.1109/TPAMI.2007.70831IEEE Transactions on Pattern Analysis and Machine Intelligence304728-734ITPI