The Output of Human Expression System Measured by Visual Adaptation and Its Implication for the Computer Recognition System
Miao Song, Shiyong Zhang, Keizo Shinomori · 2009
The better understanding of human face perception help to create the more intelligent computer system to recognize the expression in face. In this paper, we used the adaptation paradigm and Face Action Coding System (FACS) to model the output of the human expression system, we measured the expression aftereffect in the case that facial identity was not changed and in the case that facial identity was changed. The result revealed the significant influence from the facial identity system on the facial expression system, Based on the result, we discussed the theoretical implication for understanding the relationship between expression system and identity system and its implication for computer system to simulate the human behavior of expression recognition.