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Pattern Recognition, International Conference on (2004)
Cambridge UK
Aug. 23, 2004 to Aug. 26, 2004
ISSN: 1051-4651
ISBN: 0-7695-2128-2
pp: 37-40
Esa Rahtu , University of Oulu, Finland
Janne Heikkil? , University of Oulu, Finland
ABSTRACT
This paper assesses the recently proposed affine invariant image transform called Multi-Scale Autoconvolution (MSA) in some practical object classification problems. A classification framework based on MSA and Support Vector Machines is introduced. As shown by the comparison with another affine invariant technique, it appears that this new technique provides a good basis for problems where the disturbances in classified objects can be approximated with spatial affine transformation. The paper also introduces a new property clarifying the parameter selection in the Multi-Scale Autoconvolution.
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CITATION

E. Rahtu and J. Heikkil?, "Object Classification with Multi-Scale Autoconvolution," Pattern Recognition, International Conference on(ICPR), Cambridge UK, 2004, pp. 37-40.
doi:10.1109/ICPR.2004.1334463
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