Title :
Variational Shape Model for Lip Postures Recognition Using GA
Author :
Jaramillo, J.A. ; Orozco, M. ; Castellanos, G. ; Riano, J.C.
Author_Institution :
Univ. Nacional de Colombia, Manizales
Abstract :
A system for feature extraction and recognition of lip postures is presented, by constructing a shape model of the inner and outer contours of the lips, whose parameters are controlled by a canonical genetic algorithm. Features of each posture are the model parameters which better fit to the analyzed image. A Bayesian classifier is used to classify, under the assumption that there is equiprobability between the classes, obtaining results up to 82.4% of accurate classification
Keywords :
Bayes methods; face recognition; feature extraction; genetic algorithms; image classification; pose estimation; probability; Bayesian classifier; GA; canonical genetic algorithm; equiprobability; feature extraction; inner contours; lip posture recognition; outer contours; variational shape model; Bayesian methods; Deformable models; Digital control; Face detection; Feature extraction; Genetic algorithms; Image analysis; Image recognition; Lips; Shape control;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location :
Cuernavaca
Print_ISBN :
0-7695-2569-5
DOI :
10.1109/CERMA.2006.98
