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» A General Principled Method for Image Similarity Validation
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TMI
2010
112views more  TMI 2010»
15 years 8 days ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...
MICCAI
2004
Springer
15 years 7 months ago
Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration
Mutual information has become a popular similarity measure in multi-modality medical image registration since it was first applied to the problem in 1995. This paper describes a m...
Paul A. Bromiley, Maja Pokric, Neil A. Thacker
IDA
2009
Springer
15 years 8 months ago
Estimating Markov Random Field Potentials for Natural Images
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Urs Köster, Jussi T. Lindgren, Aapo Hyvä...
CVPR
2009
IEEE
16 years 9 months ago
Multiple View Image Denoising
We present a novel multi-view denoising algorithm. Our algorithm takes noisy images taken from different viewpoints as input and groups similar patches in the input images using ...
Hailin Jin, Li Zhang, Shree K. Nayar, Sundeep Vadd...
MVA
1998
230views Computer Vision» more  MVA 1998»
15 years 3 months ago
An Efficient Matching Algorithm for Segment-Based Stereo Vision Using Dynamic Programming Technique
An efficient matching method for segment-based stereo vision is proposed. A potential matching graph which describes the connectivity between candidate matching pairs of segments ...
Toshio Ueshiba, Yoshihiro Kawai, Yasushi Sumi, Fum...