Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Extraction of discriminative features from salient facial patches plays a vital role in effective
facial expression recognition. The accurate detection of facial landmarks improves the …

We propose an appearance-based face recognition method called the Laplacianface
approach. By using locality preserving projections (LPP), the face images are mapped into a …

Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few years …

Human Nonverbal Communication Computing aims to investigate how people exploit
nonverbal aspects of their communication to coordinate their activities and social …

We propose a novel approach for modeling, tracking, and recognizing facial expressions on
a low-dimensional expression manifold. A modified Lipschitz embedding is developed to …

In this paper an efficient feature extraction method named as locally linear discriminant
embedding (LLDE) is proposed for face recognition. It is well known that a point can be …

Automatic detection of a falling person in video is an important problem with applications in
security and safety areas including supportive home environments and CCTV surveillance …

Locality preserving projection (LPP) is a manifold learning method widely used in pattern
recognition and computer vision. The face recognition application of LPP is known to suffer …

This paper proposes a novel natural facial expression recognition method that recognizes a
sequence of dynamic facial expression images using the differential active appearance …