Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
The trilateral filter for high contrast images and meshes
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Structure-Texture Image Decomposition--Modeling, Algorithms, and Parameter Selection
International Journal of Computer Vision
An Improved Algorithm for TV-L1 Optical Flow
Statistical and Geometrical Approaches to Visual Motion Analysis
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Graph-Cut versus Belief-Propagation Stereo on Real-World Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Belief Propagation Implementation Using CUDA on an NVIDIA GTX 280
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Illumination invariant cost functions in semi-global matching
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Spatio-temporal stereo disparity integration
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
International Journal of Computer Vision
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In past studies, illumination effects have been proven to cause the most common problems in correspondence algorithms. In this paper, we conduct a study identifying that the residual images (i.e., differences between images and their smoothed versions) contain the important information in an image. We go on to show that this approach removes illumination artifacts between corresponding pairs of images (i.e., optical flow and stereo) using a mixture of synthetic and real-life images.