In the last decade, the computer vision field has seen significant progress in multimodal data
fusion and learning, where multiple sensors, including depth, infrared, and visual, are used …

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 …

This paper presents a novel feature point descriptor for the multispectral image case Far-
Infrared and Visible Spectrum images. It allows matching interest points on images of the …

The use of multiple small-scale UAVs to support first responders in disaster management
has become popular because of their speed and low deployment costs. We exploit such …

Several factors cause the output degradation of the photovoltaic (PV) module. The main
affecting elements are the higher PV module temperature, the shaded cell, the shortened or …

In order to enable a robust 24-h monitoring of traffic under changing environmental
conditions, it is beneficial to observe the traffic scene using several sensors, preferably from …

In this paper, we propose an original algorithm allowing the registration of multimodal
images. Indeed, the large and nonlinear intensity changes between different modalities …

Face identification is a common image processing problem that is used in a range of
applications, including pedestrian tracking, population flow forecast, video surveillance, and …

With a large number of registration algorithms proposed, image registration techniques have
achieved rapid development. However, there still exist many deficiencies in multimodality …

Low light situations pose a significant challenge to individuals working in a variety of
different fields such as firefighting, rescue, maintenance and medicine. Tools like flashlights …