Supervised super-vector encoding for facial expression recognition

作者：Tariq Usman^*; Yang Jianchao; Huang Thomas S

来源：Pattern Recognition Letters, 2014, 46: 89-95.

DOI：10.1016/j.patrec.2014.05.011

• GMM learning
• Face biometrics
• Facial expression recognition

Expression recognition from faces with varying pose and illumination conditions is a challenging research area with growing interest. In this paper, we develop a novel supervised super-vector encoding framework to learn discriminative image feature representations. The framework is then validated on the Multi-PIE and BU3D-FE databases for multi-view facial expression recognition. Extensive experiments show that our supervised framework gives significant improvement over the unsupervised counterpart and outperforms the state-of-the-arts.

• 出版日期2014-9-1