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ICASSP
2008
IEEE
13 years 12 months ago
Optical flow robust estimation in a hybrid multi-resolution MRF framework
We propose in this paper a robust multi-resolution technique to estimate dense velocity field from image sequences. It couples a Gaussian pyramidal down-sampling decomposition to...
Cyril Cassisa, Véronique Prinet, Liang Shao...
CVPR
2007
IEEE
14 years 7 months ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang
DAGM
2006
Springer
13 years 9 months ago
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
Michael Bleyer, Christoph Rhemann, Margrit Gelautz
CVPR
1997
IEEE
14 years 7 months ago
Independent 3D Motion Detection Based on Depth Elimination in Normal Flow Fields
This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solvin...
Antonis A. Argyros, Stelios C. Orphanoudakis
ECCV
2004
Springer
14 years 7 months ago
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation
We present an analytic solution to the problem of estimating multiple 2-D and 3-D motion models from two-view correspondences or optical flow. The key to our approach is to view th...
René Vidal, Yi Ma