Performance of optical flow techniques
International Journal of Computer Vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Dense Estimation of Fluid Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
The steerable pyramid: a flexible architecture for multi-scale derivative computation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
A Database and Evaluation Methodology for Optical Flow
International Journal of Computer Vision
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
A Database and Evaluation Methodology for Optical Flow
International Journal of Computer Vision
Stochastic models for local optical flow estimation
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation
Journal of Visual Communication and Image Representation
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In this paper, we propose a new formulation of the Differential Optical Flow Equation (DOFE) between two consecutive images considering spatial and temporal information from both. The displacement field is computed in a Markov Random Field (MRF) framework. The solution is done by minimization of the Gibbs energy using a Direct Descent Energy (DDE) algorithm. A hybrid multiresolution approach, combining pyramidal decomposition and two-step multigrid techniques, is used to estimate small and large displacements. A new pyramidal decomposition method without warping process between pyramid levels is introduced. The experiments carried out on benchmark dataset sequences show the effectiveness of the new optical flow formulation using the proposed unwarped pyramid decomposition schema.