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Recently, mid-level features have shown promising performance in computer vision. Mid-level features learned by incorporating class-level information are potentially more discriminative than traditional low-level local features. In this paper, an effective method is proposed to extract mid-level features from Kinect skeletons for 3D human action recognition. Firstly, the orientations of limbs connected...
The familiarity of faces is one of the key factors that come into play during human face analysis. However, there is very little research that studies face familiarity. In this paper, two methods are proposed to quantitatively measure the degree of familiarity of a face with respect to a known set. The methods are in accordance with the psychological study. In particular, non-negative matrix factorization...
Emotion modeling has received a great attention in recent years. This paper models the online social emotions that are the online users' emotional responds when they are exposed to news articles. Specifically, we rank social emotion labels for online documents. Unlike the existing method, referred to as Pair-LR, which learns pairwise preference and adopts binary classification, we address the problem...
One popular solution to head pose estimation is to formulate it as a pattern classification problem, and treat the holistic facial appearance as the input to classifiers. However, since the face appearance contains all kinds of information, the variation caused by other factors such as identity, expression and lighting may be larger than that caused by different head poses. Thus, the key challenge...
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