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

This third edition is the single largest, most complete compilation of HCI theories, principles,
advances, case studies, and more, that exist within a single volume. It captures the current …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

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 …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

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 …

We present a real-time liveness detection approach against photograph spoofing in face
recognition, by recognizing spontaneous eyeblinks, which is a non-intrusive manner. The …

A fundamental task for a distributed multi-camera system is to associate people across
camera views at different locations and times. In a crowded and uncontrolled environment …

Sight and hearing are two senses that play a vital role in human communication and scene
understanding. To mimic human perception ability, audio-visual learning, aimed at …

One of the main challenges faced by the current face recognition techniques lies in the
difficulties of collecting samples. Fewer samples per person mean less laborious effort for …