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ICPR
2000
IEEE
14 years 3 days ago
Optic-Flow Information Extraction with Directional Gaussian-Derivatives
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
J. Luis Silván-Cárdenas, Boris Escal...
ICIP
2009
IEEE
14 years 8 months ago
A Robust Framework For Aligning Lecture Slides With Video
We propose a robust approach for aligning lecture slides with lecture videos using a combination of Hough transform, optical flow and Gabor analysis. A Markov Decision Process mod...
SCVMA
2004
Springer
14 years 1 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
ICIP
2009
IEEE
13 years 5 months ago
Optical flow and depth from motion for omnidirectional images using a TV-L1 variational framework on graphs
This paper deals with the problem of efficiently computing the optical flow of image sequences acquired by omnidirectional (nearly full field of view) cameras. We formulate the pr...
Luigi Bagnato, Pascal Frossard, Pierre Vandergheyn...
CVPR
1999
IEEE
14 years 9 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black