Facial expression feature selection method based on neighborhood rough set theory and quantum genetic algorithm
Li Shen · Journal of Hefei University of Technology · 2013
Facial expression feature selection is one of the hot issues in the field of facial expression recognition.A novel facial expression feature selection method named feature selection based on neighborhood rough set theory and quantum genetic algorithm(FSNRSTQGA) is proposed.First,an evaluation criterion of the optimization expression feature subset is established based on neighborhood rough set theory and used as the fitness function.Then,by quantum genetic algorithm evolutionary strategy,an approach of facial expression feature selection is proposed.The results of the simulation on Cohn-Kanade expression dataset illustrate that the FSNRSTQGA method is effective.