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» Covariant Derivatives and Vision
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ICPR
2004
IEEE
15 years 11 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...
ICPR
2002
IEEE
15 years 11 months ago
Robust Affine Motion Estimation in Joint Image Space Using Tensor Voting
Robustness of parameter estimation relies on discriminating inliers from outliers within the set of correspondences. In this paper, we present a method using tensor voting to elim...
Eun-Young Kang, Gérard G. Medioni, Isaac Co...
ICPR
2000
IEEE
15 years 11 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...
ICPR
2008
IEEE
15 years 4 months ago
A study of change detection from satellite images using joint intensity histogram
Detection of appearance/disappearance of objects from satellite images is generally very difficult since background pixels also change their intensity values owing to various fac...
Yasuyo Kita
ICPR
2010
IEEE
15 years 3 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Neural Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Gabbouj Moncef