Effect of Aging on Facial Expression Recognition
Kulkarni Ketki Rajendra · 2014
Facial expressions recognition is a challenging task. It has applications in many areas like human-computer interaction and data-driven animation. Automatic recognition of facial expressions can also be used in behavioral science and in clinical practice. Because of wide and active applications, Facial Expression recognition is a rapidly growing and ever green research field. Humans recognize facial expressions virtually without effort or delay but reliable expression recognition by machine is still a challenge. This paper presents high-level overview of automatic Facial expression recognition by highlighting effect of age on the recognition process where Gabor filters is used to extract facial features and SVM is applied for classification.