83 datasets found

We present with unified notations three approaches to linear parameter estimation: least-squares, sentinels, and Substrative Optimally Localized Average (SOLA). It...

Modelling of spatially homogeneous and piecewise-homogeneous image textures by novel Markov and non-Markov Gibbs random fields with multiple pairwise pixel...

This report describes an investigation into the characteristics of a number of image models and algorithms used for the segmentation of SPOT images. The initial goals...

Developments in Markov Chain Monte Carlo procedures have made it possible to perform fully Bayesian image segmentation. By this we mean that all the parameters are...

Two images of a single scene/object are related by the epipolar geometry, which can be described by a 3x3 singular matrix called the essential matrix if images'...

A new method for formulating and solving parameter estimation problems based on Fenchel duality is presented. The partial differential equation is considered as a...

This paper deals with the detection of moving objects. We have defined a method able to cope with perturbations frequently encountered during acquisition of outdoor...

Almost all problems in computer vision are related in one form or another to the problem of estimating parameters from noisy data. In this tutorial, we present what is...

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This paper deals with the problem of unsupervised classification of images modeled by Markov Random Fields (MRF). If the model parameters are known then we have...

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