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Abstract: This paper describes a method for estimating optical flow that strikes a balance between the flexibility of regularization techniques and the robustness and accuracy of area-based regression techniques. The approach assumes that image motion can be represented by an affine flow model within local image patchs. Since some image regions may not have sufficient information to estimate an affine motion model robustly, we define a spatial smoothness constraint on the affine flow parameters of... (Update)
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.... length criterion to strike a balance between accurate encoding of the motion and the number of layers needed to represent it [2, 15, 27]. With parameterized models, the estimation of the motion of a given surface may be adversely affected by distant, and quite unrelated,...
.... length criterion to strike a balance between accurate encoding of the motion and the number of layers needed to represent it [2, 15, 27]. ROBUST ESTIMATION OF APPEARANCE CHANGE 13 With parameterized models, the estimation of the motion of a given surface may be...
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BibTeX entry: (Update)
S. X. Ju. Estimating image motion in layers: The Skin and Bones model. PhD thesis, University of Toronto, 1999. http://citeseer.ist.psu.edu/ju99estimating.html More
@phdthesis{ ju99estimating,
author = "Xuan Ju",
title = "Estimating Image Motion in Layers: The ``Skin and Bones'' Model",
address = "Toronto, Ontario M5S 1A4, Canada",
year = "1999",
url = "citeseer.ist.psu.edu/ju99estimating.html" }
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93 Statistical methods for tomographic image reconstruction (context) - Geman, McClure - 1987
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1 A computational approach to motion preception (context) - Uras, Girosi et al. - 1989
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