EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
Size functions are functions from the real plane to thenatural numbers useful for describing shapes of objects. They allow to translate the problem of comparing shapes to the probl...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
In this paper, we propose two Bayesian methods for detecting and grouping junctions. Our junction detection method evolves from the Kona approach, and it is based on a competitive ...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...