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ACCV
2009
Springer
14 years 3 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
CVPR
2008
IEEE
13 years 10 months ago
Photometric stereo with coherent outlier handling and confidence estimation
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
Frank Verbiest, Luc J. Van Gool
CVPR
2010
IEEE
14 years 5 months ago
Single Image Depth Estimation From Predicted Semantic Labels
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
Beyang Liu, Stephen Gould, Daphne Koller
ICCV
2007
IEEE
14 years 11 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
MICCAI
2000
Springer
14 years 16 days ago
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation
The quantitative estimation of regional cardiac deformation from 3D image sequences has important clinical implications for the assessment of myocardial viability. The validation o...
Xenophon Papademetris, Albert J. Sinusas, Donald P...