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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 …
A tutorial review on point cloud registrations: principle, classification, comparison, and technology challenges
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 …
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …
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 …
Unsupervised deep probabilistic approach for partial point cloud registration
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 …
labeled data. To address these issues, we propose UDPReg, an unsupervised deep …
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 …
Global-PBNet: A novel point cloud registration for autonomous driving
Registration performs an individual and deciding role in multiple intelligent transport
systems. The advancement of deep-learning-based methods enhances the robustness and …
systems. The advancement of deep-learning-based methods enhances the robustness and …
Application of local-feature-based 3-D point cloud stitching method of low-overlap point cloud to aero-engine blade measurement
Blades are a core component of aero-engines. The accuracy of the blade profile of an aero-
engine is crucial for its normal operation. Considering the limitations of low-overlap …
engine is crucial for its normal operation. Considering the limitations of low-overlap …
Filterreg: Robust and efficient probabilistic point-set registration using gaussian filter and twist parameterization
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 …
robustness to noise, outliers and occlusions. However, these methods tend to be much …
Compatibility-guided sampling consensus for 3-d point cloud registration
This article presents an efficient and robust estimator called compatibility-guided sampling
consensus (CG-SAC) to achieve accurate 3-D point cloud registration. For correspondence …
consensus (CG-SAC) to achieve accurate 3-D point cloud registration. For correspondence …