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ECCV
2008
Springer
14 years 6 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
ROBOCUP
2004
Springer
94views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Optic Flow Based Skill Learning for a Humanoid to Trap, Approach to, and Pass a Ball
Generation of a sequence of behaviors is necessary for the RoboCup Humanoid league to realize not simply a individual robot performance but also cooperative ones between robots. A ...
Masaki Ogino, Masaaki Kikuchi, Jun'ichiro Ooga, Ma...
CVPR
2000
IEEE
14 years 7 months ago
A Generalized Optical Flow Constraint and its Physical Interpretation
This paper addresses the issue of motion estimation on image sequences. The standard motion equation used to compute the apparent motion of image irradiance patterns is an invaria...
Dominique Béréziat, Isabelle Herlin,...
ICCV
2011
IEEE
12 years 4 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
ICCSA
2004
Springer
13 years 10 months ago
Optical Flow Estimation via Neural Singular Value Decomposition Learning
Simone Fiori, Nicoletta Del Buono, Tiziano Politi