The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

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 …

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 …

Existing image fusion methods always use hand-crafted fusion rules due to the
uninterpretability of deep feature maps, which restrict the performance of networks and result …

The fusion of infrared and visible images of the same scene aims to generate a composite
image which can provide a more comprehensive description of the scene. In this paper, we …

In recent years, although significant progress has been made in infrared and visible image
fusion, existing methods typically assume that the source images have been rigorously …

Infrared and visible image fusion aims to obtain a synthetic image that can simultaneously
exhibit salient objects and provide abundant texture details. However, existing deep …

This study proposes a novel unsupervised network for IR/VIS fusion task, termed as
RXDNFuse, which is based on the aggregated residual dense network. In contrast to …

Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few years …