Affine invariant, model-based object recognition using robust metrics and bayesian statistics

Authors:
Vasileios Zografos;Bernard F. Buxton
Affiliations:
Department of Computer Science, University College London, London, UK;Department of Computer Science, University College London, London, UK
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

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Abstract

We revisit the problem of model-based object recognition for intensity images and attempt to address some of the shortcomings of existing Bayesian methods, such as unsuitable priors and the treatment of residuals with a non-robust error norm. We do so by using a reformulation of the Huber metric and carefully chosen prior distributions. Our proposed method is invariant to 2-dimensional affine transformations and, because it is relatively easy to train and use, it is suited for general object matching problems.