Face detection is an extensively studied problem in the last few decades. Recently,
significant improvements have been achieved by the deep neural network (DNN) solution. It …

The development of the Internet of Things (IoT) stimulates many research works related to
Multimedia Communication Systems (MCS), such as human face detection and tracking …

In this work, we propose an algorithm for face detection and recognition in real time
applications. The proposed algorithm combines the local binary pattern (LBP) with the …

Face detection is one of the most important research topics in the field of computer vision,
and it is also the premise and an essential part of face recognition. With the advent of deep …

Face detection is a widely studied problem over the past few decades. Recently, significant
improvements have been achieved via the deep neural network, however, it is still …

Facial detection is a base component for multiple applications in the fields of biometrics,
surveillance, human-robot interaction and others. Although significant progress has been …

Face detection in the wild is a challenging vision problem due to large variations and
unpredictable ambiguities commonly existed in real world images. Whilst using hand-crafted …

Facial detection is an extremely important topic in biometrics. In particular, its application in
uncontrolled environments presents a great challenge for the various existing techniques …

Object detection has been implemented in all sorts of real-life scenarios such as facial
recognition, traffic monitoring and medical imaging but the research that has gone into …

One embodiment provides a method comprising identifying a salient part of an object in an
input image based on processing of a region of interest (Rol) in the input image at an …