Results 281 to 290 of about 500,433 (311)
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On the Spatial Statistics of Optical Flow
International Journal of Computer Vision, 2005We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natural scenes and 3D camera motions recovered from handheld and car-mounted video sequences.
Stefan Roth 0001, Michael J. Black
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On the information in optical flows
Computer Vision, Graphics, and Image Processing, 1983Abstract This paper outlines the structure of optical flows and their relation to relative depth, local surface orientation, relative motion, and the source of optokinetic information, the retinal velocities. Some possibilities and limitations of optical flows as a source of information about the three-dimensional environment are also discussed.
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2008
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical model of both brightness constancy error and the spatial properties of optical flow using image sequences with associated ground truth flow fields.
Deqing Sun +3 more
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Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical model of both brightness constancy error and the spatial properties of optical flow using image sequences with associated ground truth flow fields.
Deqing Sun +3 more
openaire +1 more source
Optical flow and scene flow estimation: A survey
Pattern Recognition, 2021Mingliang Zhai, Xuezhi Xiang, Ning Lv
exaly
A Database and Evaluation Methodology for Optical Flow
International Journal of Computer Vision, 2010Simon Baker +2 more
exaly
Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering
IEEE Transactions on Image Processing, 2020Long Tian, Zhigang Tu, Dejun Zhang
exaly

