A review of multimodal image matching: Methods and applications
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 …
similar structure/content from two or more images that are of significant modalities or …
Computational optimal transport: With applications to data science
Optimal transport (OT) theory can be informally described using the words of the French
mathematician Gaspard Monge (1746–1818): A worker with a shovel in hand has to move a …
mathematician Gaspard Monge (1746–1818): A worker with a shovel in hand has to move a …
Image matching from handcrafted to deep features: A survey
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 …
then correspond the same or similar structure/content from two or more images. Over the …
Rpm-net: Robust point matching using learned features
Abstract Iterative Closest Point (ICP) solves the rigid point cloud registration problem
iteratively in two steps:(1) make hard assignments of spatially closest point …
iteratively in two steps:(1) make hard assignments of spatially closest point …
Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences
We present a fast feature-metric point cloud registration framework, which enforces the
optimisation of registration by minimising a feature-metric projection error without …
optimisation of registration by minimising a feature-metric projection error without …
Graduated non-convexity for robust spatial perception: From non-minimal solvers to global outlier rejection
Semidefinite Programming (SDP) and Sums-of-Squares (SOS) relaxations have led to
certifiably optimal non-minimal solvers for several robotics and computer vision problems …
certifiably optimal non-minimal solvers for several robotics and computer vision problems …
A review of point cloud registration algorithms for mobile robotics
The topic of this review is geometric registration in robotics. Registration algorithms
associate sets of data into a common coordinate system. They have been used extensively …
associate sets of data into a common coordinate system. They have been used extensively …
Robust point matching via vector field consensus
In this paper, we propose an efficient algorithm, called vector field consensus, for
establishing robust point correspondences between two sets of points. Our algorithm starts …
establishing robust point correspondences between two sets of points. Our algorithm starts …
Self-feature-based point cloud registration method with a novel convolutional Siamese point net for optical measurement of blade profile
L Xie, Y Zhu, M Yin, Z Wang, D Ou, H Zheng… - … Systems and Signal …, 2022 - Elsevier
Currently, non-contact optical measurement technologies have shown prominent power in
measuring blade profiles. One of the critical issues is how to align measured point clouds in …
measuring blade profiles. One of the critical issues is how to align measured point clouds in …
A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations
The capability of an active spacecraft to accurately estimate its relative position and attitude
(pose) with respect to an active/inactive, artificial/natural space object (target) orbiting in …
(pose) with respect to an active/inactive, artificial/natural space object (target) orbiting in …