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» Modeling Image Textures by Gibbs Random Fields
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ICASSP
2008
IEEE
15 years 7 months ago
Optical flow robust estimation in a hybrid multi-resolution MRF framework
We propose in this paper a robust multi-resolution technique to estimate dense velocity field from image sequences. It couples a Gaussian pyramidal down-sampling decomposition to...
Cyril Cassisa, Véronique Prinet, Liang Shao...
ICEIS
1999
IEEE
15 years 4 months ago
Contour Estimation on Piecewise Homogeneous Random Fields
: Contour Estimation, Bayesian Estimation, Random Fields, Dynamic Programming, Multigrid Methods. This paper addresses contour estimation on images modeled as piecewise homogeneous...
José A. Moinhos Cordeiro, José M. B....
ICB
2009
Springer
412views Biometrics» more  ICB 2009»
15 years 7 months ago
Bayesian Face Recognition Based on Markov Random Field Modeling
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li
112
Voted
PAMI
2007
155views more  PAMI 2007»
15 years 2 days ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
89
Voted
ICIP
2004
IEEE
16 years 2 months ago
Rate-distortion analysis of random access for compressed light fields
Image-based rendering data sets, such as light fields, require efficient compression due to their large data size, but also easy random access when rendering from the data set. Ef...
Prashant Ramanathan, Bernd Girod