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» A New Method for Computing Optical Flow
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ECCV
2008
Springer
14 years 9 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
SCVMA
2004
Springer
14 years 1 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
FGR
2008
IEEE
301views Biometrics» more  FGR 2008»
14 years 2 months ago
3D facial geometry recovery via group-wise optical flow
We describe an algorithm for automatically finding correspondences from face video sequences. This method is useful to many applications such as face tracking, face modeling and ...
Hui Fang, Nicholas Costen, David Cristinacce, John...
EMMCVPR
2009
Springer
14 years 2 months ago
Complementary Optic Flow
We introduce the concept of complementarity between data and smoothness term in modern variational optic flow methods. First we design a sophisticated data term that incorporates ...
Henning Zimmer, Andrés Bruhn, Joachim Weick...
ECCV
2002
Springer
14 years 9 months ago
Is Super-Resolution with Optical Flow Feasible?
Reconstruction-based super-resolution from motion video has been an active area of study in computer vision and video analysis. Image alignment is a key component of super-resoluti...
Wen-Yi Zhao, Harpreet S. Sawhney