Emotion Recognition Method of Facial Image using PCA
Ho-Duck Kim, Hyun-Chang Yang, Chang-Hyun Park, Kwee-Bo Sim · Journal of Korean institute of intelligent systems · 2006
A research about facial image recognition is studied in the most of images in a full race. A representative part, effecting a facial image recognition, is eyes and a mouth. So, facial image recognition researchers have studied under the central eyes, eyebrows, and mouths on the facial images. But most people in front of a camera in everyday life are difficult to recognize a fast change of pupils. And people wear glasses. So, in this paper, we try using Principal Component Analysis(PCA) for facial image recognition in blindfold case.