Facial actions are usually encoded as anatomy-based action units (AUs), the labelling of
which demands expertise and thus is time-consuming and expensive. To alleviate the …

Micro-expression is a type of facial expression that reveals the deepest feeling held within
the human heart. Despite the substantial improvement that has been achieved, micro …

We present a novel Bayesian framework for facial action unit recognition. The first key
observation behind this work is sparsity: out of possible 45 (and more) facial action units …

Accurate recognition of facial expression is a challenging problem especially from multi-
scale and multi orientation face images. In this article, we propose a novel technique called …

This chapter first addresses the question of 'why bodily expression?', and attempts to find
answers by reviewing the latest bodily expression perception literature. It then turns its …

Affective computing-the emergent field in which computers detect emotions and project
appropriate expressions of their own-has reached a bottleneck where algorithms are not …

Gabor wavelets (GWs) are commonly used for extracting local features for various
applications such as object detection, recognition and tracking. However, extracting Gabor …

This paper presents a computer vision system for automatic facial expression recognition
(AFER). The robust AFER system can be applied in many areas such as emotion science …

As a fine-grained and local expression behavior measurement, facial action unit (FAU)
analysis (eg, detection and intensity estimation) has been documented for its time …

The local binary pattern (LBP) operator has been proved to be a simple and effective
approach for facial feature representation. However, the LBP operator thresholds P …