Description: Actual applications require specifi c methods to reduce the infl uence of the
correlation to distortions that appear when input images differ from their
reference model. When the distortion model can be described analytically
(such as in-plane rotation, scaling, etc.), specifi c methods give invariant
outputs to those particular distortions but reduces signifi cantly the fi eld of
practical applications. To overcome those limitations, we have fi rst proposed
the ASFS algorithm that allows to include a set of distorted images
in order to decrease the sensitivity of the correlation to nonanalytically
described distortions. Based on the ASFS algorithm, we have developed a
nonlinear two-step architecture
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| Filename | Size | Date |
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| Image Recognition and Classification. Algorithms | Systems and Applications - Marcel Dekker - 2002 - ISBN 0824707834 - 493s.pdf |
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