Human Emotion Recognition Using Thermal Image Processing and Eigenfaces
نویسندگان
چکیده
As peoples use body language or non-verbal language such as gesture and facial expression in communication; computers will also be able to communicate humans .In the digital era, there are various computational models are already exist for recognition of different facial expressions (Happy, Sad, Disgust, Angry and neutral) but we are trying to propose a computational model of facial expression recognition of thermal face images using Principal component analysis (eigenfaces for feature extraction ) and distance classifier. In this paper, novel framework for thermal image processing presented of facial expression recognition can improve the performance of facial expression recognition.
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