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 …

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 …

Abstract 3D point cloud registration is a fundamental problem in computer vision and
robotics. Recently, learning-based point cloud registration methods have made great …

Point cloud registration is a key problem in the application of computer vision to robotics,
autopilot and other fields. However, because the object is partially covered up or the …

Recent advances in deep convolutional neural networks (CNNs) have motivated
researchers to adapt CNNs to directly model points in 3D point clouds. Modeling local …

With the development of 3D matching technology, correspondence-based point cloud
registration gains more attention. Unfortunately, 3D keypoint techniques inevitably produce …

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 …

Given a set of putative 3D-3D point correspondences, we aim to remove outliers and
estimate rigid transformation with 6 degrees of freedom (DOF). Simultaneously estimating …

Point set registration is the technology used to estimate the spatial transformation between
two LiDAR scans, which is challenging in the presence of outlier correspondences and …