Browsing by Author "Walsh, Dane A."

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    Automatic detection of image orientation using Support Vector Machines
    (Stellenbosch : Stellenbosch University, 2002-12) Walsh, Dane A.; Omlin, C. W.; Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences (applied, computer, mathematics).
    ENGLISH ABSTRACT: In this thesis, we present a technique for the automatic detection of image orientation using Support Vector Machines (SVMs). SVMs are able to handle feature spaces of high dimension and automatically choose the most discriminative features for classification. We investigate the use of various kernels, including heavy tailed RBF kernels. We compare the classification performance of SVMs with the performance of multilayer perceptrons and a Bayesian classifier. Our results show that SVMs out perform both of these methods in the classification of individual images. We also implement an application for the classification of film rolls in a photographic workflow environment with 100% classification accuracy.