Face Detection: a Survey

A survey on face detection in the wild: Past, present and future

Face detection is one of the most studied topics in computer vision literature, not only because of the challenging nature of face as an object, but also due to the countless applications that require the application of face detection as a first step. During the past 15 years, tremendous progress has been made due to the availability of data in unconstrained capture conditions (so-called ’in-th...

A Survey of Recent Advances in Face Detection

Face detection has been one of the most studied topics in the computer vision literature. In this technical report, we survey the recent advances in face detection for the past decade. The seminal Viola-Jones face detector is first reviewed. We then survey the various techniques according to how they extract features and what learning algorithms are adopted. It is our hope that by reviewing the...

A Survey of Methods for Face Detection

Face Detection with methods based on color by using Artificial Neural Network

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...

Survey on Application of Face liveness detection in attendance system

Face recognition systems are user friendly and easy to use compared to other biometric methods. These systems are susceptible to spoof attacks. It is easy to spoof face recognition systems by using photographs. It is important to incorporate face liveness detection algorithms into these systems to make it more secure. There are various techniques for face liveness detection. Deciding on a speci...