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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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PREMI
2009
Springer
15 years 8 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
CVPR
2008
IEEE
16 years 4 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
ICPR
2000
IEEE
16 years 3 months ago
Estimation of Adaptive Parameters for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
André Jalobeanu, Josiane Zerubia, Laure Bla...
101
Voted
ICIP
2000
IEEE
16 years 3 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda
ICIP
2005
IEEE
16 years 3 months ago
Featureless global alignment of multiple images
The majority of the approaches to the automatic recovery of a panoramic image from a set of partial views are suboptimal in the sense that the input images are aligned, or registe...
Bernardo Esteves Pires, Pedro M. Q. Aguiar