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Variational methods in image processing Optical Flow Week 10

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Advanced Course 048926. Variational methods in image processing Optical Flow Week 10. Guy Gilboa. Optical Flow.

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Variational methods in image processing Optical Flow Week 10

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  1. Advanced Course 048926 Variational methods in image processingOptical FlowWeek 10 Guy Gilboa

  2. Optical Flow Brox, T., Bruhn, A., Papenberg, N., & Weickert, J. (2004). High accuracy optical flow estimation based on a theory for warping. In Computer Vision-ECCV 2004(pp. 25-36). Springer Berlin Heidelberg. Brox, Thomas, and Jitendra Malik. "Large displacement optical flow: descriptor matching in variational motion estimation." Pattern Analysis and Machine Intelligence, IEEE Transactions on 33.3 (2011): 500-513. Improved with HOG-based image descriptors

  3. Stereo H. Zimmer, A. Bruhn, L. Valgaerts, M. Breuß, J. Weickert, B. Rosenhahn, H.-P. Seidel:PDE-based anisotropic disparity-driven stereo vision. Vision, Modeling, and Visualization 2008. PDE formulation (with anisotropic diffusion smoothing), very similar to optical flow solutions:

  4. Image Registration Multimodal non-rigid registration: - reference, - target, - deformation For the multimodal problem a level-set / edge-based matching energy is used. CT, MR, Registered MR, Droske, Marc, and Martin Rumpf. "A variational approach to nonrigid morphological image registration." SIAM Journal on Applied Mathematics 64.2 (2004): 668-687.

  5. From T. Brox web-page

  6. cont

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