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ICCV
2009
IEEE
3893views Computer Vision» more  ICCV 2009»
16 years 10 months ago
 Super-Resolution From a Single Image
Methods for super-resolution (SR) can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misa...
Daniel Glasner, Shai Bagon, and Michal Irani
220
Voted
CVPR
2000
IEEE
16 years 9 months ago
Learning from One Example through Shared Densities on Transforms
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
CVPR
2000
IEEE
16 years 9 months ago
Layer Extraction from Multiple Images Containing Reflections and Transparency
Many natural images contain reflections and transparency, i.e., they contain mixtures of reflected and transmitted light. When viewed from a moving camera, these appear as the sup...
Richard Szeliski, Shai Avidan, P. Anandan
CVPR
2000
IEEE
16 years 9 months ago
Dynamic Layer Representation with Applications to Tracking
A dynamic layer representation is proposed in this paper for tracking moving objects. Previous work on layered representations has largely concentrated on two-/multiframe batch fo...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
CVPR
2000
IEEE
16 years 9 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...