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Modelling Profiles with a Mixture of Gaussians

9 years 11 months ago
Modelling Profiles with a Mixture of Gaussians
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data, to reduce the dimensionality of the representation. However, a single multivariate Gaussian model of the probability density, estimated from the principle covariances, can be substantially inaccurate. In this paper, we examine how the specificity of a model can be improved by using a mixture of Gaussians, trained with the ExpectationMaximization algorithm, with reference to hand and vehicle profiles.
James Orwell, Darrel Greenhill, Jonathan D. Rymel,
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICIP
Authors James Orwell, Darrel Greenhill, Jonathan D. Rymel, Graeme A. Jones
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