Detection and Segmentation Using PSO in Facial Expression Recognition
Xiaodong Duan · Dalian Minzu Xueyuan xuebao · 2013
A precise face detection and segmentation method combining with the particle swarm optimization is proposed.The aim is to improve the accuracy of a kind of special facial expression recognition problem.The method uses skin color segmentation to roughly obtain the face contour.The accurate face position is detected by particle swarm optimization.Then facial expression recognition is processed using precise face for PCA dimensionality reduction and feature extraction.Experimental results show that this method can eliminate the interference factor,and improve the accuracy of expression recognition,especially suitable for some single expression recognition.