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» MRF Solutions for Probabilistic Optical Flow Formulations
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ICPR
2000
IEEE
13 years 8 months ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
CIARP
2009
Springer
13 years 11 months ago
Two-Frame Optical Flow Formulation in an Unwarping Multiresolution Scheme
Abstract. In this paper, we propose a new formulation of the Differential Optical Flow Equation (DOFE) between two consecutive images considering spatial and temporal information ...
Cyril Cassisa, Serge Simoens, Véronique Pri...
ECCV
2006
Springer
14 years 6 months ago
Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms
Abstract. In this paper we introduce a principled approach to modeling the image brightness constraint for optical flow algorithms. Using a simple noise model, we derive a probabil...
Venu Madhav Govindu
ICIP
2006
IEEE
13 years 10 months ago
MRF Modeling for Optical Flow Computation from Multi-Structure Objects
We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees...
Véronique Prinet, Cyril Cassisa, FengFeng T...
ICPR
2010
IEEE
13 years 11 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...