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, 2005
We 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
openaire   +1 more source

On the information in optical flows

Computer Vision, Graphics, and Image Processing, 1983
Abstract 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.
openaire   +1 more source

Learning Optical Flow

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
openaire   +1 more source

Optical flow

ACM SIGGRAPH Computer Graphics, 1984
Alan Bundy, Lincoln Wallen
openaire   +3 more sources

Optical Flow

2014
Becker, Florian   +2 more
openaire   +2 more sources

Datamoshing with Optical Flow

SIGGRAPH Asia 2023 Posters, 2023
Chris Careaga   +2 more
openaire   +1 more source

Optical flow and scene flow estimation: A survey

Pattern Recognition, 2021
Mingliang Zhai, Xuezhi Xiang, Ning Lv
exaly  

A Database and Evaluation Methodology for Optical Flow

International Journal of Computer Vision, 2010
Simon Baker   +2 more
exaly  

Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering

IEEE Transactions on Image Processing, 2020
Long Tian, Zhigang Tu, Dejun Zhang
exaly  

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