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» A Generative Model of Dense Optical Flow in Layers
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SCALESPACE
2007
Springer
13 years 11 months ago
Dense Optical Flow Estimation from the Monogenic Curvature Tensor
In this paper, we address the topic of estimating two-frame dense optical flow from the monogenic curvature tensor. The monogenic curvature tensor is a novel image model, from whi...
Di Zang, Lennart Wietzke, Christian Schmaltz, Gera...
IJCV
2000
141views more  IJCV 2000»
13 years 5 months ago
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
In this paper we show that a classic optical ow technique by Nagel and Enkelmann (1986) can be regarded as an early anisotropic di usion method with a di usion tensor. We introduc...
Luis Álvarez, Joachim Weickert, Javier S&aa...
BMVC
1998
13 years 7 months ago
Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms
Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground-truth data sets for complex scenes. We describe a simple modification to a r...
Ben Galvin, Brendan McCane, Kevin Novins, David Ma...
ECCV
2004
Springer
14 years 7 months ago
A Feature-Based Approach for Determining Dense Long Range Correspondences
Planar motion models can provide gross motion estimation and good segmentation for image pairs with large inter-frame disparity. However, as the disparity becomes larger, the resul...
Josh Wills, Serge Belongie
IJCV
2006
227views more  IJCV 2006»
13 years 5 months ago
A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods
Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...