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Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration. Previous work for micro-expression recognition have used hand-crafted features like LBP-TOP, Gabor filter and optical flow. This paper is the first work to explore the possible use of deep learning for micro-expression recognition task. Due to the lack of data for...
Recognizing the facial expression plays an important role in human computer interaction. Following the recent success of the Convolutional Neural Network (CNN) in image classification and object recognition, this paper proposes a facial expression recognition method that makes full use of CNNs to detect face features globally and locally and that combines global and local generic features for improving...
The identification of facial expressions with human emotions plays a key role in non-verbal human communication and has applications in several areas. In this work, we analyze two main approaches for expression recognition.
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