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 …

A point cloud as a collection of points is poised to bring about a revolution in acquiring and
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …

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 …

In this paper, we present an end-to-end architecture for multi-exposure image fusion based
on generative adversarial networks, termed as MEF-GAN. In our architecture, a generator …

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 …

This paper focuses on removing mismatches from given putative feature matches created
typically based on descriptor similarity. To achieve this goal, existing attempts usually …

Coherent point drift is a well-known algorithm for solving point set registration problems, ie,
finding corresponding points between shapes represented as point sets. Despite its …

This paper proposes an effective method, termed as motion-consistency driven matching
(MCDM), for mismatch removal from given tentative correspondences between two feature …

In this paper, we propose a novel end-to-end model for fusing medical images
characterizing structural information, ie, IS, and images characterizing functional information …

As a fundamental and critical task in feature-based remote sensing image registration,
feature matching refers to establishing reliable point correspondences from two images of …