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Occlusion-Aware Optical Flow Estimation
IEEE Transactions on Image Processing, 2008Optical flow can be reliably estimated between areas visible in two images, but not in occlusion areas. If optical flow is needed in the whole image domain, one approach is to use additional views of the same scene. If such views are unavailable, an often-used alternative is to extrapolate optical flow in occlusion areas.
Serdar, Ince, Janusz, Konrad
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Robust optical flow estimation
Proceedings of 1st International Conference on Image Processing, 2002The paper presents a robust algorithm for computation of optical flow using the principle of conservation of a set of semi-invariant local features that are representatives of local gray-level properties in an image. Specifically, a set of rotation-invariant local orthogonal Zernike moments is used as features.
S. Ghosal, R. Mehrotra
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Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
We address the problem of fluid motion estimation in image sequences. For such motions, standard optical flow methods, based on intensity conservation and spatial coherence of motion field, are not suitable. This is due to the highly deformable nature of a fluid medium.
T. Corpetti, E. Memin, P. Perez
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We address the problem of fluid motion estimation in image sequences. For such motions, standard optical flow methods, based on intensity conservation and spatial coherence of motion field, are not suitable. This is due to the highly deformable nature of a fluid medium.
T. Corpetti, E. Memin, P. Perez
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Optical flow estimation in aerated flows
Journal of Hydraulic Research, 2016ABSTRACTOptical flow estimation is known from Computer Vision where it is used to determine obstacle movements through a sequence of images following an assumption of brightness conservation. This paper presents the first study on application of the optical flow method to aerated stepped spillway flows.
Bung, Daniel Bernhard (PD Prof. Dr.-Ing. habil.) +1 more
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2013
Optical flow is the velocity vector field of the projected environmental surfaces when a viewing system moves relative to the environment.
Amar Mitiche, J.K Aggarwal
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Optical flow is the velocity vector field of the projected environmental surfaces when a viewing system moves relative to the environment.
Amar Mitiche, J.K Aggarwal
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2011
In this chapter we review the estimation of the two-dimensional apparent motion field of two consecutive images in an image sequence. This apparent motion field is referred to as optical flow field, a two-dimensional vector field on the image plane.
Andreas Wedel, Daniel Cremers
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In this chapter we review the estimation of the two-dimensional apparent motion field of two consecutive images in an image sequence. This apparent motion field is referred to as optical flow field, a two-dimensional vector field on the image plane.
Andreas Wedel, Daniel Cremers
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2005
This chapter provides a tutorial introduction to gradient-based optical flow estimation. We discuss least-squares and robust estimators, iterative coarse-to-fine refinement, different forms of parametric motion models, different conservation assumptions, probabilistic formulations, and robust mixture models.
D. Fleet, Y. Weiss
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This chapter provides a tutorial introduction to gradient-based optical flow estimation. We discuss least-squares and robust estimators, iterative coarse-to-fine refinement, different forms of parametric motion models, different conservation assumptions, probabilistic formulations, and robust mixture models.
D. Fleet, Y. Weiss
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