The variational approach to shape from shading
Computer Vision, Graphics, and Image Processing
Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
A viscosity solutions approach to shape-from-shading
SIAM Journal on Numerical Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Smooth surface reconstruction from noisy range data
Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Shape from Shading and Viscosity Solutions
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Progress in Camera-Based Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Correcting Document Image Warping Based on Regression of Curved Text Lines
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Cylindrical Surface Model to Rectify the Bound Document Image
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Multiresolution Approach for Shape from Shading Coupling Deterministic and Stochastic Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lax-Friedrichs sweeping scheme for static Hamilton-Jacobi equations
Journal of Computational Physics
Image Restoration of Arbitrarily Warped Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
3D Geometric and Optical Modeling of Warped Document Images from Scanners
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Conformal Deskewing of Non-Planar Documents
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Recovering Intrinsic Images from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Opaque Document Imaging: Building Images of Inaccessible Texts
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Geometric and Photometric Restoration of Distorted Documents
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Fast and Stable Approach for Restoration of Warped Document Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Video Mosaicing for Curved Documents Based on Structure from Motion
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Geometric and shading correction for images of printed materials using boundary
IEEE Transactions on Image Processing
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The popularity of current hand-held digital imaging devices such as camera phones, PDAs, camcorders has promoted the use of digital cameras to capture document images for daily information recording purpose. However, the captured images often contain photometric and geometric distortions when the documents are of non-planar shapes, which cause significant problems to various document image analysis (DIA) tasks such as OCR. In this paper, we propose a restoration framework that removes both photometric and geometric distortions in smoothly warped document images to facilitate human perception and machine recognition. First, the photometric distortions are corrected by separating the shading image from the reflectance image using inpainting and surface fitting techniques. Next, a 2-pass Shape-from-Shading (SFS) method is exploited to recover the document's surface shape based on the extracted shading image. Once the document's shape is obtained, the geometric distortions are rectified through a physically-based flattening process. Experiments on real document images show the performance of each sub-task and demonstrate a complete solution to the restoration of physically-distorted document images.