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Session:

Workshop - Undergraduate Student Workshop

Title:

Interactive Nature-Inspired Heuristics for Automatic

 

 

Authors:

Tugba Akbal
Gül Nildem Demir
Alp Emre Kanlikiliçer
Merve Can Kus
Fatma Hülya Ulu

 

 

Abstract:

The aim of this project is to experiment with different interactive nature-inspired heuristics to automatically generate a target picture through determining the vector of parameter values of an active appearance model (AAM). The AAM forms a statistical model of the human face from an input database of face images. Using this model, it is possible to generate faces which may not even exist in the original database. The natureinspired heuristics used in this study are genetic algorithms, evolutionary strategies, particle swarm optimization and differential evolution. In the interactive versions of these heuristics, users get involved in the algorithm in either the fitness evaluation or the selection stages.

 

 

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