Xiaohua Huang

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Micro-expressions are short, involuntary facial expressions which reveal hidden emotions. Micro-expressions are important for understanding humans’ deceitful behavior. Psychologists have been studying them since the 1960’s. Currently the attention is elevated in both academic fields and in media. However, while general facial expression recognition (FER)(More)
Recently, there are increasing interests in inferring mirco-expression from facial image sequences. For micro-expression recognition, feature extraction is an important critical issue. In this paper, we proposes a novel framework based on a new spatiotemporal facial representation to analyze micro-expressions with subtle facial movement. Firstly, an(More)
Feature representation is an important research topic in facial expression recognition from video sequences. In this letter, we propose to use spatiotemporal monogenic binary patterns to describe both appearance and motion information of the dynamic sequences. Firstly, we use monogenic signals analysis to extract the magnitude, the real picture and the(More)
Spontaneous facial micro-expression analysis has become an active task for recognizing suppressed and involuntary facial expressions shown on the face of humans. Recently, Local Binary Pattern from Three Orthogonal Planes (LBP-TOP) has been employed for micro-expression analysis. However, LBP-TOP suffers from two critical problems, causing a decrease in the(More)
Facial expression recognition has been predominantly utilized to analyze the emotional status of human beings. In practice nearly frontal-view facial images may not be available. Therefore, a desirable property of facial expression recognition would allow the user to have any head pose. Some methods on non-frontal-view facial images were recently proposed(More)
Multiple endocrine neoplasia type 1 (MEN1) results from mutations in tumor suppressor gene Men1, which encodes nuclear protein menin. Menin up-regulates certain cyclin-dependent kinase inhibitors through increasing histone H3 lysine 4 (H3K4) methylation and inhibits G(0)/G(1) to S phase transition. However, little is known as to whether menin controls(More)
The exceptional in vitro potency of the hepatitis C virus (HCV) NS5A inhibitor BMS-790052 has translated into an in vivo effect in proof-of-concept clinical trials. Although the 50% effective concentration (EC(50)) of the initial lead, the thiazolidinone BMS-824, was ~10 nM in the replicon assay, it underwent transformation to other inhibitory species after(More)
In this paper, we propose a weighted component-based feature descriptor for expression recognition in video sequences. Firstly, we extract the texture features and structural shape features in three facial regions: mouth, cheeks and eyes of each face image. Then, we combine these extracted feature sets using confidence level strategy. Noting that for(More)