Pattern Recognition, International Conference on (2004)
Aug. 23, 2004 to Aug. 26, 2004
Esa Rahtu , University of Oulu, Finland
Janne Heikkil? , University of Oulu, Finland
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.
E. Rahtu and J. Heikkil?, "Object Classification with Multi-Scale Autoconvolution," Pattern Recognition, International Conference on(ICPR), Cambridge UK, 2004, pp. 37-40.