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» Variational Bayesian image modelling
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SIGGRAPH
2000
ACM
15 years 7 months ago
Toward a psychophysically-based light reflection model for image synthesis
In this paper we introduce a new light reflection model for image synthesis based on experimental studies of surface gloss perception. To develop the model, we’ve conducted two ...
Fabio Pellacini, James A. Ferwerda, Donald P. Gree...
IJCV
2006
116views more  IJCV 2006»
15 years 3 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
JMM2
2006
145views more  JMM2 2006»
15 years 3 months ago
Improved Active Shape Model for Facial Feature Extraction in Color Images
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...
CVPR
2004
IEEE
16 years 5 months ago
Brightness Perception, Dynamic Range and Noise: A Unifying Model for Adaptive Image Sensors
Many computer vision applications have to cope with large dynamic range and changing illumination conditions in the environment. Any attempt to deal with these conditions at the a...
Vladimir Brajovic
TMI
2008
138views more  TMI 2008»
15 years 2 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...