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ICIP
2005
IEEE
15 years 3 months ago
Higher order polynomials, free form deformations and optical flow estimation
In this paper, we propose a novel technique to represent and recover optical flow through free form deformations. Such a technique is based on representing the motion field usin...
Konstantinos Karantzalos, Nikos Paragios
ECCV
2010
Springer
15 years 2 months ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
ICPR
2002
IEEE
15 years 2 months ago
Constrained Structure and Motion Estimation from Optical Flow
Unbiased and consistent estimates of structure and motion can be obtained by least squares minimization of the differential epipolar constraint. Previous work on this subject does...
Marco Zucchelli, José Santos-Victor, Henrik...
ECCV
2008
Springer
15 years 11 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
ECCV
2008
Springer
15 years 11 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...