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 …
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 …
Teaser: Fast and certifiable point cloud registration
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 …
dimensional (3-D) points in the presence of large amounts of outlier correspondences. A …
Go-ICP: A globally optimal solution to 3D ICP point-set registration
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 …
set registration. However, being based on local iterative optimization, ICP is known to be …
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 …
Go-icp: Solving 3d registration efficiently and globally optimally
Registration is a fundamental task in computer vision. The Iterative Closest Point (ICP)
algorithm is one of the widely-used methods for solving the registration problem. Based on …
algorithm is one of the widely-used methods for solving the registration problem. Based on …
Estimation contracts for outlier-robust geometric perception
L Carlone - Foundations and Trends® in Robotics, 2023 - nowpublishers.com
Outlier-robust estimation is a fundamental problem and has been extensively investigated
by statisticians and practitioners. The last few years have seen a convergence across …
by statisticians and practitioners. The last few years have seen a convergence across …
Certifiably optimal outlier-robust geometric perception: Semidefinite relaxations and scalable global optimization
We propose the first general and scalable framework to design certifiable algorithms for
robust geometric perception in the presence of outliers. Our first contribution is to show that …
robust geometric perception in the presence of outliers. Our first contribution is to show that …
Guaranteed outlier removal for point cloud registration with correspondences
AP Bustos, TJ Chin - IEEE transactions on pattern analysis and …, 2017 - ieeexplore.ieee.org
An established approach for 3D point cloud registration is to estimate the registration
function from 3D keypoint correspondences. Typically, a robust technique is required to …
function from 3D keypoint correspondences. Typically, a robust technique is required to …
Fast descriptors and correspondence propagation for robust global point cloud registration
In this paper, we present a robust global approach for point cloud registration from uniformly
sampled points. Based on eigenvalues and normals computed from multiple scales, we …
sampled points. Based on eigenvalues and normals computed from multiple scales, we …