Evolving Color Constancy for an Artificial Retina

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{ebner:2001:EuroGP,

• author = "Marc Ebner",
• title = "Evolving Color Constancy for an Artificial Retina",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
• year = "2001",
• editor = "Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon",
• volume = "2038",
• series = "LNCS",
• pages = "11--22",
• address = "Lake Como, Italy",
• publisher_address = "Berlin",
• month = "18-20 " # apr,
• organisation = "EvoNET",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, Color Constancy, Artificial Retina, Image Processing",
• ISBN = "3-540-41899-7",
• DOI = "doi:10.1007/3-540-45355-5_2",
• size = "12 pages",
• abstract = "Objects retain their colour in spite of changes in the wavelength and energy composition of the light they reflect. This phenomenon is called color constancy and plays an important role in computer vision research. We have used genetic programming to automatically search the space of programs to solve the problem of color constancy for an artificial retina. This retina consists of a two dimensional array of elements each capable of exchanging information with its adjacent neighbours. The task of the program is to compute the intensities of the light illuminating the scene. These intensities are then used to calculate the reflectances of the object. Randomly generated colour Mondrians were used as fitness cases. The evolved program was tested on artificial Mondrians and natural images.",
• notes = "EuroGP'2001, part of \cite{miller:2001:gp}",

}

Genetic Programming entries for Marc Ebner

Citations