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CVPR
2009
IEEE
1382views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Super-Resolution via Recapture and Bayesian Effect Modeling
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
AVSS
2006
IEEE
16 years 21 days ago
Human Face Reconstruction Using Bayesian Deformable Models
This paper presents a Bayesian framework for 3D facial reconstruction. The framework iteratively deforms a generic face mesh to fit a set of range points representing a face. The...
George Mamic, Clinton Fookes, Sridha Sridharan
ICASSP
2010
IEEE
15 years 5 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...
ICIAP
1997
ACM
15 years 10 months ago
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data
This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The ...
Anil C. Kokaram, Simon J. Godsill
CVPR
2008
IEEE
16 years 8 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...