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» Gaussian Process Models of Spatial Aggregation Algorithms
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SIGGRAPH
1998
ACM
13 years 12 months ago
A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display
In this paper we develop a computational model of adaptation and spatial vision for realistic tone reproduction. The model is based on a multiscale representation of pattern, lumi...
Sumanta N. Pattanaik, James A. Ferwerda, Mark D. F...
ICIP
2005
IEEE
14 years 1 months ago
Speckle modeling and reduction in synthetic aperture radar imagery
A new mathematical framework for modeling speckled imagery is introduced based on embedding the spatial correlation properties of speckled imagery, obtained from statistical optic...
Ousseini Lankoande, Majeed M. Hayat, Balu Santhana...
ICASSP
2010
IEEE
13 years 7 months ago
3D shape estimation from silhouettes using mean-shift
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gauss...
Donghoon Kim, Jonathan Ruttle, Rozenn Dahyot
ICPR
2006
IEEE
14 years 8 months ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar
ICASSP
2010
IEEE
13 years 7 months ago
A novel estimation of feature-space MLLR for full-covariance models
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...