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A novel bimodal emotion recognition approach from facial expression and speech based on the sparse kernel reduced-rank regression (SKRRR) fusion method is proposed in this paper. In this method, we use the openSMILE feature extractor and the scale invariant feature transform feature descriptor to respectively extract effective features from speech modality and facial expression modality, and then...
This paper proposes a pain expression recognition method using boosted Gabor features. At first, each neonatal facial image which is normalized to the size of 112times92 pixels is convoluted with the 2D Gabor filters to extract 412160 Gabor features. Since the high-dimensional Gabor feature vectors are quite redundant, we propose a modified version of AdaBoost algorithm, called the HybridBoost, to...
Automatic human lip tracking is one of the key components tomany facial image analysis tasks, such as, lip-reading and emotion from lips. It has been a classical hard image analysis problem over decades. In this paper, we propose an indirect lip tracking strategy: `lipless tracking'. It is based on the observation that many of us don't have clear lips and some even don't have visible lips. The strategy...
To enhance their social interactive ability, we study how to provide the sight-impaired with reliable, '"on-line" emotion information. The technical challenge we address here is how to render rich facial expressions in an intuitive way. We demonstrate that manifold of facial expressions is a compact and natural way to characterize human emotions. To compute manifold of facial expressions...
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