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 City, 1991 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 S.Haykin Pattern Classification, John Wiley, 2001 R.O. Duda and P.E. Hart and D.G. Stock >A more >interesting case is covered by the following paper (interesting links >too): http://citeseer.nj.nec.com/336979.html But it looks like both our suggestions would require something more powerful than little ol' Perl (no flames, please). lee
