With the marvelous increase in video and image database there is an incredible need of
automatic understanding and examination of information by the intelligent systems as …

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

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …

Internet usage has become a facet of everyday life, especially as more technological
advances have made it easier to connect to the web from virtually anywhere in the …

We present a neural network-based upright frontal face detection system. A retinally
connected neural network examines small windows of an image and decides whether each …

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

In this paper we present a comprehensive and critical survey of face detection algorithms.
Face detection is a necessary first-step in face recognition systems, with the purpose of …

Government agencies are investing a considerable amount of resources into improving
security systems as result of recent terrorist events that dangerously exposed flaws and …

A kernel principal component analysis (PCA) was previously proposed as a nonlinear
extension of a PCA. The basic idea is to first map the input space into a feature space via …