Infrared facial expression recognition is very important to understand the human emotion and behaviors. Smile detection plays a key role in facial expression recognition. In this paper, we have developed a fast facial smile detection algorithm with convolutional neural network and infrared imaging technology. Due to random noise and band overlap in the infrared imaging spectroscopy, we propose a maximum likelihood (ML) restoration algorithm with spectral-spatial L1-norm constraint for low-resolution infrared spectrum. In this model, we also emp...