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ICPR
2008
IEEE
10 years 8 months ago
Image mosaicing using local optical flow registration
Cylindrical panoramic mosaics can be created by aligning and stitching images from a series, captured by a camera rotating around its optical center. The transformation between tw...
François Deschênes, Marie Flavie Aucl...
ICIP
2004
IEEE
10 years 8 months ago
Robust optical flow from photometric invariants
Optical flow is widely in use in the field of image processing. In general, optical flow is computed from luminance images. However, optical flow based on luminance information hi...
Joost van de Weijer, Theo Gevers
ECCV
2008
Springer
10 years 9 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...
CVPR
2008
IEEE
10 years 9 months ago
Optical flow estimation using Fourier Mellin Transform
In this paper, we propose a novel method of computing the optical flow using the Fourier Mellin Transform (FMT). Each image in a sequence is divided into a regular grid of patches...
Huy Tho Ho, Roland Göcke
CVPR
2006
IEEE
10 years 9 months ago
Multi-Camera Scene Flow by Tracking 3-D Points and Surfels
Scene flow represents the 3-D motion of points in the scene, just as optical flow is related to their 2-D motion in the images. As opposed to classical methods which compute scene...
Frederic Devernay, Diana Mateus, Matthieu Guilbert
CVPR
2004
IEEE
10 years 9 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher

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NaveenStudent, PhD
CVC, UAB, Spain
Naveen
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
11 years 1 months ago
Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...
CVPR
2009
IEEE
11 years 2 months ago
Large Displacement Optical Flow
The literature currently provides two ways to establish point correspondences between images with moving objects. On one side, there are energy minimization methods that yield v...
Thomas Brox (University of California, Berkeley), ...

Source Code
2567views
11 years 6 months ago
Variational Methods on the GPU (Optical Flow Segmentation etc.)
This page contains several methods using variational methods on the GPU.
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