Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

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 …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

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 …

Seeking reliable correspondences between two feature sets is a fundamental and important
task in computer vision. This paper attempts to remove mismatches from given putative …

In image fusion, the most desirable information is obtained from multiple images of the same
scene and merged to generate a composite image. This resulting new image is more …

Feature matching, which refers to establishing reliable correspondence between two sets of
features (particularly point features), is a critical prerequisite in feature-based registration. In …

Head pose estimation (HPE) under active infrared (IR) illumination has attracted much
attention in the fields of computer vision and machine learning. However, IRHPE often …

In previous work on point registration, the input point sets are often represented using
Gaussian mixture models and the registration is then addressed through a probabilistic …

Feature matching, which refers to establishing reliable correspondence between two sets of
features, is a critical prerequisite in a wide spectrum of vision-based tasks. Existing attempts …