Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

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 …

The process of learning good features for machine learning applications can be very
computationally expensive and may prove difficult in cases where little data is available. A …

The purpose of this study is to introduce a method based on facial recognition to identify
students' understanding of the entire distance learning process. This study proposes a …

We present a generative appearance-based method for recognizing human faces under
variation in lighting and viewpoint. Our method exploits the fact that the set of images of an …

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 …

Human face detection plays an important role in applications such as video surveillance,
human computer interface, face recognition, and face image database management. We …

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 …