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» Estimating Fluid Optical Flow
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CVPR
2009
IEEE
16 years 5 months ago
Large Displacement Optical Flow
The literature currently provides two ways to establish point correspondences between images with moving objects. On one side, there are energy minimization methods that yield v...
Thomas Brox (University of California, Berkeley), ...
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
ICANN
2007
Springer
15 years 3 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
15 years 2 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...
CVPR
2011
IEEE
14 years 5 months ago
A Polar Representation of Motion and Implications for Optical Flow
We explore a polar representation of optical flow in which each element of the brightness motion field is represented by its magnitude and orientation instead of its Cartesian p...
Yair Adato, Todd Zickler, Ohad Ben-Shahar