Automatic Detection of Reference Face and The Recognition of Transition of Facial Expressions

Abstract

Several researchers have recently attempted automatic recognition and tracking of the facial expressions in video frames. However, it is very hard to detect a neutral face because the distinction between facial movement and head movement is difficult to make. To solve this distinction problem, the head position was initialized using the central point of each eye and the tip of the nose. The transition of facial expressions can be recognized by means of detecting the reference face (neutral face) and the recognition algorithm constructed to the expert system.