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Morphologically Invariant Matching of Structures with the Complete Rank Transform.

, , and . International Journal of Computer Vision, 113 (3): 220-232 (2015)

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Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation., , , and . Journal of Mathematical Imaging and Vision, 52 (1): 71-86 (2015)Optic Flow Scale Space., , , and . SSVM, volume 6667 of Lecture Notes in Computer Science, page 713-724. Springer, (2011)Anisotropic Range Image Integration., , , , , and . DAGM/OAGM Symposium, volume 7476 of Lecture Notes in Computer Science, page 73-82. Springer, (2012)Cross Anisotropic Cost Volume Filtering for Segmentation., , , and . ACCV (1), volume 7724 of Lecture Notes in Computer Science, page 803-814. Springer, (2012)Beauty with variational methods: An optic flow approach to hairstyle simulation, , , and . Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007). Lecture Notes in Computer Science, 4485, Springer, (2007)The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures., , and . BMVC, BMVA Press, (2013)Morphologically Invariant Matching of Structures with the Complete Rank Transform., , and . International Journal of Computer Vision, 113 (3): 220-232 (2015)Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow, , , , and . Proceedings of European Conference on Computer Vision (ECCV 2014). Lecture Notes in Computer Science, 8689, Springer, (2014)Feature invariance versus change estimation in variational motion estimation.. Saarland University, (2015)Simultaneous HDR and Optic Flow Computation., , and . ICPR, page 2065-2070. IEEE Computer Society, (2014)