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A Face-It Screen Example
Visitors since 3rd of May 1996:
The Face-it Project (FIP) package uses a Genetic Algorithm to evolve face expression pictures and is meant to be used in psycological studies.The evolution of pictures is based on the user's evaluation of a number of face expressions shown on the screen.
The FIP model originates from an inspiration of Leonard Da Vinci Face Studies and Artificial Life tecniques of Evolving Images, plus Cognitive Science Studies of face Expressions Recognition.
A Genetic Algorithm works on a population of genotypes. In FIP, the genotype of each individual is represented by a bit string codifying the values of 33 continue variables that describe 400.000 possible expressions of the same face.
constructs a whole population of individuals (i.e.: nine). Initially, the
genotype of each individual will be set randomly. Each individual builds
a face that is shown on the screen in front of the user. According to the
genotype different faces will appear. The user selects same of the expressions
for riproduction by clicking on them with the mouse.Each selected individual
(i.e.: expression) will be cloned a fixed number of times and a new generation
of faces will appear on the screen. Each clone will be mutated in some
randomly chosen parts of the genotype (bit string). The average number
of mutations can be decided by the user. The selection and cloning process
can continue until one or more satisfactory expressions are obtained.
NOTES: We inform the reader that the Face-It Project is in constant evolution towards a sharper definition of the algorithm and the face expression images. Moreover, the FIP is now being tested to observe people reactions and used to obtain scientific results about its application.
This Project has been realized with the collaboration of:
This page is available on WWW since the 13th of September 1995. Updated on the 2nd October 1995.
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