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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
IPMI
2003
Springer
15 years 10 months ago
A Unified Variational Approach to Denoising and Bias Correction in MR
Abstract. We propose a novel bias correction method for magnetic resonance (MR) imaging that uses complementary body coil and surface coil images. The former are spatially homogene...
Ayres C. Fan, William M. Wells III, John W. Fisher...
CGF
2000
158views more  CGF 2000»
14 years 9 months ago
Unsteady Flow Visualization by Animating Evenly-Spaced Streamlines
In recent years the work on vector field visualization has been concentrated on LIC-based methods. In this paper we propose an alternative solution for the visualization of unstea...
Bruno Jobard, Wilfrid Lefer
CVPR
2007
IEEE
15 years 12 months ago
Pose and Illumination Invariant Face Recognition in Video
The use of video sequences for face recognition has been relatively less studied than image-based approaches. In this paper, we present a framework for face recognition from video...
Yilei Xu, Amit K. Roy Chowdhury, Keyur Patel
SIGGRAPH
1997
ACM
15 years 2 months ago
A framework for realistic image synthesis
Our goal is to develop physically based lighting models and perceptually based rendering procedures for computer graphics that will produce synthetic images that are visually and ...
Donald P. Greenberg, Kenneth E. Torrance, Peter Sh...