Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …

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 …

Infrared and visible image fusion methods aim to combine high-intensity instances and
detail texture features into fused images. However, the ability to capture compact features …

In this paper, we propose a novel method for visible and infrared image fusion by
decomposing feature information, which is termed as CUFD. It adopts two pairs of encoder …

In this paper, we propose a general purpose, simple and fast fusion algorithm based on
guided image filter. The proposed method can well combine useful source image …

Infrared and visible image fusion aims to integrate complementary information from different
types of images into one image. The existing image fusion methods are primarily based on …

Past work on object detection has emphasized the issues of feature extraction and
classification, however, relatively less attention has been given to the critical issue of feature …

This paper describes a new software-based registration and fusion of visible and thermal
infrared (IR) image data for face recognition in challenging operating environments that …

In this paper, we propose a deep multimodal fusion network to fuse multiple modalities (face,
iris, and fingerprint) for person identification. The proposed deep multimodal fusion …