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 …

We propose the first fast and certifiable algorithm for the registration of two sets of three-
dimensional (3-D) points in the presence of large amounts of outlier correspondences. A …

The Iterative Closest Point (ICP) algorithm is one of the most widely used methods for point-
set registration. However, being based on local iterative optimization, ICP is known to be …

Registration performs an individual and deciding role in multiple intelligent transport
systems. The advancement of deep-learning-based methods enhances the robustness and …

Deep point cloud registration methods face challenges to partial overlaps and rely on
labeled data. To address these issues, we propose UDPReg, an unsupervised deep …

Probabilistic point-set registration methods have been gaining more attention for their
robustness to noise, outliers and occlusions. However, these methods tend to be much …

Probabilistic 3D point cloud registration methods have shown competitive performance in
overcoming noise, outliers, and density variations. However, registering point cloud pairs in …

We propose a robust approach for the registration of two sets of 3D points in the presence of
a large amount of outliers. Our first contribution is to reformulate the registration problem …