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» Dense Lagrangian motion estimation with occlusions
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CVPR
2012
IEEE
7 years 4 months ago
Dense Lagrangian motion estimation with occlusions
We couple occlusion modeling and multi-frame motion estimation to compute dense, temporally extended point trajectories in video with signi´Čücant occlusions. Our approach combine...
Susanna Ricco, Carlo Tomasi
IJCV
2006
236views more  IJCV 2006»
9 years 1 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
CVPR
2004
IEEE
10 years 3 months ago
Optimizing Motion Estimation with Linear Programming and Detail-Preserving Variational Method
In this paper, we propose a novel linear programming based method to estimate arbitrary motion from two images. The proposed method always finds the global optimal solution of the...
Hao Jiang, Ze-Nian Li, Mark S. Drew
ACCV
2006
Springer
9 years 7 months ago
Dense Motion and Disparity Estimation Via Loopy Belief Propagation
We describe a method for computing a dense estimate of motion and disparity, given a stereo video sequence containing moving non-rigid objects. In contrast to previous approaches, ...
Michael Isard, John MacCormick
DAGM
2006
Springer
9 years 5 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
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