The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Cross-Weighted Moments and Affine Invariants for Image Registration and Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Real-time texture synthesis by patch-based sampling
ACM Transactions on Graphics (TOG)
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affine Invariant Pattern Recognition Using Multiscale Autoconvolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusing Points and Lines for High Performance Tracking
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Filling-in by joint interpolation of vector fields and gray levels
IEEE Transactions on Image Processing
Simultaneous structure and texture image inpainting
IEEE Transactions on Image Processing
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
Video Inpainting Under Constrained Camera Motion
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning
IEEE Transactions on Image Processing
Automatic crack detection in heritage site images for image inpainting
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
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Exemplar-based inpainting techniques demonstrate some advantages in filling both textural and structural images, based upon the simple process of patch sampling and copying. An implicit assumption of such methods is that an exemplar patch could be found for copying. But the assumption might be false for images with complex structures, resulting in inpainting artefact. To inpaint structure and texture more efficiently, this paper adopts a weak assumption that affine transformed patches could be found for filling unknown regions. The algorithm based on this assumption firstly establishes the affine relation between the unknown region and a source patch, then transform the source pixels to fill the unknowns. This algorithm generates more satisfying inpainting results, as illustrated by the provided experiments.