Accurate estimation of discontinuous optical flow by minimizing divergence related functionals
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[1] A. Murat Tekalp,et al. High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blur , 1992, Proceedings of 1st International Conference on Image Processing.
[2] Lenny I. Rudin,et al. Nonlinear frame fusion by minimizing divergence magnitude of optical flow , 1996, Defense, Security, and Sensing.
[3] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[4] A. Verri,et al. Constraints for the computation of optical flow , 1989, [1989] Proceedings. Workshop on Visual Motion.
[5] Hans-Hellmut Nagel,et al. Image Sequences - Ten (Octal) Years - from phenomenology towards a Theoretical Foundation , 1988, Int. J. Pattern Recognit. Artif. Intell..
[6] B. Girod,et al. Motion Compensation: Visual Aspects, Accuracy, and Fundamental Limits , 1993 .
[7] M. A. Snyder. On the Mathematical Foundations of Smoothness Constraints for the Determination of Optical Flow and for Surface Reconstruction , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Daniel Gross,et al. Improved resolution from subpixel shifted pictures , 1992, CVGIP Graph. Model. Image Process..
[9] Stanley Osher,et al. Total variation based image restoration with free local constraints , 1994, Proceedings of 1st International Conference on Image Processing.
[10] James H. Duncan,et al. Temporal Edges: The Detection Of Motion And The Computation Of Optical Flow , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[11] Gary J. Balas,et al. Optical flow: a curve evolution approach , 1995, Proceedings., International Conference on Image Processing.
[12] Alan L. Yuille,et al. The Motion Coherence Theory , 1988, [1988 Proceedings] Second International Conference on Computer Vision.