Evolutionary generation of faces - Versionsgeschichte

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Die Seite wurde neu angelegt: „ == Reference == Peter J. B. Hancock, Charlie D. Frowd: Evolutionary generation of faces. In: Bentley, Peter J.; Corne, David W.: Creative Evolutionary…“

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== Reference ==
[[Peter J. B. Hancock]], [[Charlie D. Frowd]]: Evolutionary generation of faces. In: Bentley, Peter J.; Corne, David W.: Creative Evolutionary Systems. Academic Press, 2001. 409 - 423

== DOI ==

== Abstract ==
We describe a system that allows the generation of near-photographic quality images of faces, by random recombination of the principal components of faces. Users navigate the available face space through an evolutionary front-end. Each face is rated for likeness to the desired target and an underlying evolutionary algorithm uses these ratings to produce a new set of faces, through recombination and mutation of the underlying parameters. An initial version of the system, using faces of fixed shape, is shown to be successful in allowing users to produce a good likeness of a displayed target

== Extended Abstract ==

== Bibtex ==

== Used References ==
Caldwell, C., and V. S. Johnston (1991). Tracking a Criminal Suspect through "Face Space" with a Genetic Algorithm. In R. K. Belew and L. B. Booker (eds.), Proc. Fourth Int. Conf on Genetic Algorithms, Morgan Kaufmann, pp. 416-421.

Craw, I., and P. Cameron (1991). Parameterising Images for Recognition and Reconstruction. In P. Mowforth (ed.), Proc. British Machine Vision Conference, Springer-Verlag, pp. 367-370.

Ellis, H. D., G. M. Davies, and J. W. Shepherd (1978). A Critical Examination of the Photofit System for Recalling Faces. Ergonomics 21:297-307.

Hancock, P. J. B. (1997). A Comparison of Selection Mechanisms. In T. Bck, D. Fogel, and Z. Michalewicz (eds.), Handbook of Evolutionary Computation, Oxford University Press.

Hancock, P. J. B., A. M. Burton, and V. Bruce (1996). Face Processing: Human Perception and Principal Components Analysis. Memory and Cognition 24:26-40.

Johnston, V. S., and M. Franklin (1993). Is Beauty in the Eye of the Beholder? Ethology and Sociobiology 14:183-199.

O'Toole, A. J., and J. L. Thompson (1993). An X Windows Tool for Synthesizing Face Images from Eigenvectors. Behavior Research Methods, Instruments and Computers 25:41-47.

Turk, M., and A. Pentland (1991). Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3:71-86.

== Links ==
=== Full Text ===
[http://www.researchgate.net/publication/2372180_Evolutionary_Generation_of_Faces/links/0deec526f813c147e1000000 extern file]

[[intern file]]

=== Sonstige Links ===
http://en.wikipedia.org/wiki/Facial_composite

← Nächstältere Version		Version vom 3. November 2015, 12:57 Uhr
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	== Bibtex ==		== Bibtex ==
		+	@incollection{Hancock2002409,
		+	title = "Chapter 16 - Evolutionary Generation of Faces ",
		+	editor = "Corne, Peter J BentleyDavid W. ",
		+	booktitle = "Creative Evolutionary Systems ",
		+	publisher = "Morgan Kaufmann",
		+	edition = "",
		+	address = "San Francisco",
		+	year = "2002",
		+	pages = "409 - 423",
		+	series = "The Morgan Kaufmann Series in Artificial Intelligence",
		+	isbn = "978-1-55860-673-9",
		+	doi = "http://dx.doi.org/10.1016/B978-155860673-9/50055-0",
		+	url = "http://www.sciencedirect.com/science/article/pii/B9781558606739500550 http://de.evo-art.org/index.php?title=Evolutionary_generation_of_faces ",
		+	author = "Peter J.B. Hancock and Charlie D. Frowd"
		+	}

	== Used References ==		== Used References ==

@@ Zeile 36: / Zeile 36: @@
 == Links ==
 === Full Text ===
-[http://www.researchgate.net/publication/2372180_Evolutionary_Generation_of_Faces/links/0deec526f813c147e1000000 extern file]
+http://www.researchgate.net/publication/2372180_Evolutionary_Generation_of_Faces/links/0deec526f813c147e1000000
 [[intern file]]

@@ Zeile 5: / Zeile 5: @@
 == DOI ==
 == Abstract ==
 We describe a system that allows the generation of near-photographic quality images of faces, by random recombination of the principal components of faces. Users navigate the available face space through an evolutionary front-end. Each face is rated for likeness to the desired target and an underlying evolutionary algorithm uses these ratings to produce a new set of faces, through recombination and mutation of the underlying parameters. An initial version of the system, using faces of fixed shape, is shown to be successful in allowing users to produce a good likeness of a displayed target