Infrared (IR) and visual (VI) image fusion is designed to fuse multiple source images into a
comprehensive image to boost imaging quality and reduce redundancy information, which is …

Automatic face recognition is an area with immense practical potential which includes a
wide range of commercial and law enforcement applications. Hence it is unsurprising that it …

Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

Thermal cameras are passive sensors that capture the infrared radiation emitted by all
objects with a temperature above absolute zero. This type of camera was originally …

The purpose of this book is to provide a practical introduction to the th-ries, techniques and
applications of image fusion. The present work has been designed as a textbook for a one …

The illumination variation problem is one of the well-known problems in face recognition in
uncontrolled environment. In this paper an extensive and up-to-date survey of the existing …

This paper presents an integrated image fusion and match score fusion of multispectral face
images. The fusion of visible and long wave infrared face images is performed using 2ν …

Thermal imaging technology can be used to detect stress levels in humans based on the
radiated heat from their face. In this paper, we use thermal imaging to monitor the periorbital …

Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …

High performance for face recognition systems occurs in controlled environments and
degrades with variations in illumination, facial expression, and pose. Efforts have been …