238 search results - page 1 / 48 » Learning for Optical Flow Using Stochastic Optimization |
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
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...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
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...
CVPR
1997
IEEE
14 years 7 months ago
1997
IEEE
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
ICIG
2009
IEEE
13 years 2 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Optical lithography is a critical step in the semiconductor manufacturing process, and one key problem is the design of the photomask for a particular circuit pattern, given the o...