Automatic facial expression analysis is an interesting and challenging problem, and impacts
important applications in many areas such as human–computer interaction and data-driven …

We develop a face recognition algorithm which is insensitive to large variation in lighting
direction and facial expression. Taking a pattern classification approach, we consider each …

Face verification remains a challenging problem in very complex conditions with large
variations such as pose, illumination, expression, and occlusions. This problemis …

Face recognition is an efficient technique and one of the most preferred biometric modalities
for the identification and verification of individuals as compared to voice, fingerprint, iris …

Stable local feature detection and representation is a fundamental component of many
image registration and object recognition algorithms. Mikolajczyk and Schmid (June 2003) …

A new information-theoretic approach is presented for finding the pose of an object in an
image. The technique does not require information about the surface properties of the …

In recent years, a variety of nonlinear dimensionality reduction techniques have been
proposed that aim to address the limitations of traditional techniques such as PCA and …

A large family of algorithms-supervised or unsupervised; stemming from statistics or
geometry theory-has been designed to provide different solutions to the problem of …

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 …