Face recognition is the process of identifying people through facial images. It has become
vital for security and surveillance applications and required everywhere including …

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

This paper presents a general, trainable system for object detection in unconstrained,
cluttered scenes. The system derives much of its power from a representation that describes …

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 …

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 …

Rotation invariant multiview face detection (MVFD) aims to detect faces with arbitrary
rotation-in-plane (RIP) and rotation-off-plane (ROP) angles in still images or video …

Despite the successes in the last two decades, the state-of-the-art face detectors still have
problems in dealing with images in the wild due to large appearance variations. Instead of …

This paper unveils a thermal imaging methodology to recover the breathing waveform from
the subject's nostrils. The resulting functionality is equivalent to that of a thermistor, but it is …

A novel method for enhancing the performance of elastic graph matching in frontal face
authentication is proposed. The starting point is to weigh the local similarity values at the …

A combined approach for facial feature extraction and determination of gaze direction is
proposed that employs some improved variations of the adaptive Hough transform for curve …