At 13:36 11/06/2002, Leon Brocard wrote:
ken sent the following bits through the ether:
I have two image, A is a photo, B is a part of A. How can I know
where (x,y) is the photo B in Photo A?
If B is an exact partial image of A then look at the images like a
string and look for the right seqeuences of colours.
Which will work if B is aligned neatly, like a nice clip of A.
If it's not aligned, then you're probably going to be stuck for
a while. Artificial Neural Networks could easily find B if it
really is a subset of A: there are lots and lots of papers on
the matter around.... here's my ANN reading list, if it helps:
Neural Networks for Pattern Recognition
by Christopher M. Bishop. Oxford University
Introduction to the Theory of Neural Computation, Addison-Wesley Redwood
J. Hertz, A. Krogh and R. Palmer
Neural Networks. An Introduction, Springer-Verlag Berlin, 1991
B. Mueller and J. Reinhardt
Pattern Recognition and Neural Networks
by Brian D. Ripley. Cambridge University Press. Jan 1996. ISBN 0 521 46086 7.
Neural Networks, Prentice Hall, 1994
Pattern Classification, John Wiley, 2001
R.O. Duda and P.E. Hart and D.G. Stock
But it looks like both our suggestions would require something
more powerful than little ol' Perl (no flames, please).