As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

Smart logistics is an effective way to meet the challenges of fast-changing customer
expectations, take opportunities brought by new technologies, and facilitate new business …

Two of the most critical requirements in support of producing reliable face-recognition
systems are a large database of facial images and a testing procedure to evaluate systems …

Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …

This new edition continues to serve as a comprehensive guide to modern and classical
methods of statistical computing. The book is comprised of four main parts spanning the …

Abstract Principal Component Analysis and Fisher Linear Discriminant methods have
demonstrated their success in face detection, recog (cid: 173) nition, and tracking. The …

This paper examines the theory of kernel Fisher discriminant analysis (KFD) in a Hilbert
space and develops a two-phase KFD framework, ie, kernel principal component analysis …

People are excellent at identifying faces familiar to them, even from very low quality images,
but are bad at recognizing, or even matching, unfamiliar faces. In this review we shall …

Face recognition is a rapidly growing research area due to increasing demands for security
in commercial and law enforcement applications. This paper provides an up-to-date review …

We address the problem of comparing sets of images for object recognition, where the sets
may represent variations in an object's appearance due to changing camera pose and …