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118
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ICIP
2006
IEEE
16 years 3 months ago
Image Segmentation Model using Active Contour and Image Decomposition
This paper proposes an image segmentation model based on the active contour model, the Mumford-Shah functional and the image decomposition process. Generally speaking, the active ...
Xavier Bresson, Jean-Philippe Thiran
112
Voted
ICIP
2004
IEEE
16 years 3 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
223
Voted
CVPR
2012
IEEE
13 years 4 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
JAIR
1998
198views more  JAIR 1998»
15 years 1 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
115
Voted
SIGGRAPH
1995
ACM
15 years 5 months ago
Fast multiresolution image querying
We present a method for searching in an image database using a query image that is similar to the intended target. The query image may be a hand-drawn sketch or a (potentially low...
Charles E. Jacobs, Adam Finkelstein, David Salesin