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 …

Abstract Principal Component Analysis and Fisher Linear Discriminant methods have
demonstrated their success in face detection, recog (cid: 173) nition, and tracking. The …

A vision-based human--computer interface is presented in the paper. The interface detects
voluntary eye-blinks and interprets them as control commands. The employed image …

A novel learning approach for human face detection using a network of linear units is
presented. The SNoW learning architecture is a sparse network of linear functions over a pre …

Annotation" This book comes right on time... It is amazing so early in a new field that a book
appears which connects theory to algorithms and through them to convincing applications …

Eigenface or principal component analysis (PCA) methods have demonstrated their success
in face recognition, detection, and tracking. The representation in PCA is based on the …

Poaching is an illegal activity that remains out of control in many countries. Based on the
2014 report of the United Nations and Interpol, the illegal trade of global wildlife and natural …

Due to the complexity of H. 264/AVC, it is very challenging to apply this standard to design a
conversational video communication system. This problem is addressed in this paper by …

Fisher Linear Discriminant Analysis (FLDA) has been successfully applied to face
recognition, which is based on a linear projection from the image space to a low …