Sarafopoulos, A. and Buxton, B., 2006. Resolution of the Inverse Problem for Iterated Function Systems using Evolutionary Algorithms. In: Yen, G. G., Lucas, S. M., Fogel, G., Kendall, G., Salomon, R., Zhang, B.-T., Coello, C. A. and Runarsson, T. P., eds. Proceedings of the 2006 IEEE Congress on Evolutionary Computation, Vancouver, 16-21 July. New York: IEEE Press, pp. 1071-1078.
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Official URL: http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punum...
The resolution of the inverse problem for iterated function systems (IFS) is a problem that has remained open, currently there is no general solution that requires no human interaction and provides optimal results. Here we present a novel approach to the resolution of the general inverse problem for IFS using segmentation of target images in conjuction with an Evolutionary Algorithm that is a Genetic Programming-Evolutionary Strategies hybrid
|Item Type:||Book Section|
|Number of Pages:||3816|
|Group:||Media School > National Centre for Computer Animation|
|Deposited By:||INVALID USER|
|Deposited On:||06 May 2007|
|Last Modified:||07 Mar 2013 14:36|
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