Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition

In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model representations or computationally expensive algorithms to estimate facial motions. Instead, the proposed method uses a simplified action-based face model to reduce the computational complexity of the entire facial expression analysis and recognition process. Feature-adaptive motion energy analysis estimates facial motions in a costeffective manner by assigning more computational complexity on selected discriminative facial features. Facial motion intensity and orientation evaluation are then performed accordingly. Both facial motion intensity and orientation evaluation are based on simple calculations by exploiting a few motion energy values in the difference image, or optimizing the characteristics of featureadaptive facial feature regions. For facial expression classification, a computationally inexpensive ...

• Type: Conference
• Year: 2007
• Where: ISVC
• Authors: Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il Park
• Keywords: Facial, Facial Expression, Facial Motion, ISVC 2007