I am interested in translation, rotation and scaleing invariant pattern
recognition with ANNs. I already know about Fokushima's Neocognitron and
Hubel & Wiesels work about the human visual cortex. I also read some papers
about complex logarithmic mapping and Fast Fourier Transformation (H. Haken,
H. J. Reitboeck & J. Altmann, H. Wechsler & G. L. Zimmerman). Nevertheless
this complex logarithmic mapping seems to take place in the human visual cortex,
I think it is not sufficient for the task. Especially scaleing invariant
recognition is still a very hard problem.
Are there any additional related works about scaleing invariant pattern
recognition ?
Thanks in advance
Randolf Werner
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Randolf Werner FB Informatik, Uni Koblenz, evol at infko.UUCP
Rheinau 3-4, D-5400 Koblenz, Germany ...!uunet!mcsun!unido!infko!evol