Facial Smile Detection Using Convolutional Neural Networks

Facial expression analysis plays a key role in analyzing emotions and human behaviors. Smile detection is a special task in facial expression analysis with various potential applications such as photo selection, user experience analysis, smiling payment and patient monitoring. Conventional approaches often extract low-level face descriptors and detect smile based on a strong binary classifier. In this paper, we propose an effective architecture of Convolutional Neural Networks (CNNs) to detect smile in real-time speed with high accuracy. The experimental results show that our proposed network outperforms recent state-of-the-art methods.