A Kind of Human Facial Expression Analysis Fast Algorithm Based on Hidden Markov Model
Jianguo Jiang · Journal of Engineering Graphics · 2008
By adopting DCT transform to reduce the whole face image dimension,the effective feature is obtained,which greatly reduces the dimension of the observation value sequence and lowers the complexity of training and recognition.Later,a facial expression analysis algorithm based on Hidden Markov Model is designed.The differences of 2D-DCT coefficients between expressive and neutral face images are selected,which generate observation value sequence by ZIG-ZAG scanning and K-means clustering.Ultimately,the expressions are classified as six kinds: happy,anger,surprise,disgust,fear and sadness.