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» Learning to Estimate Scenes from Images
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CVPR
2006
IEEE
14 years 11 months ago
Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors
We propose a new technique for edge-suppressing operations on images. We introduce cross projection tensors to achieve affine transformations of gradient fields. We use these tens...
Amit K. Agrawal, Ramesh Raskar, Rama Chellappa
TMI
2010
208views more  TMI 2010»
13 years 4 months ago
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
ICIP
2008
IEEE
14 years 11 months ago
Super-Resolution on small moving objects
Moving objects are often the most interesting parts in image sequences. When images from a camera are undersampled and the moving object is depicted small on the image plane, proc...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
CORR
2006
Springer
96views Education» more  CORR 2006»
13 years 9 months ago
How accurate are the time delay estimates in gravitational lensing?
We present a novel approach to estimate the time delay between light curves of multiple images in a gravitationally lensed system, based on Kernel methods in the context of machine...
Juan C. Cuevas-Tello, Peter Tino, Somak Raychaudhu...
CVPR
2010
IEEE
14 years 5 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...