Point Cloud Registration

181 papers with code • 14 benchmarks • 9 datasets

Point Cloud Registration is a fundamental problem in 3D computer vision and photogrammetry. Given several sets of points in different coordinate systems, the aim of registration is to find the transformation that best aligns all of them into a common coordinate system. Point Cloud Registration plays a significant role in many vision applications such as 3D model reconstruction, cultural heritage management, landslide monitoring and solar energy analysis.

Source: Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration

Libraries

Use these libraries to find Point Cloud Registration models and implementations
3 papers
603

VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering

guiyuzhao/vrhcf 15 Mar 2024

Our method exhibits versatile applicability and excels in both traditional homologous registration and challenging cross-source registration scenarios.

7
15 Mar 2024

FastMAC: Stochastic Spectral Sampling of Correspondence Graph

forrest-110/fastmac 13 Mar 2024

As such, the core of our method is the stochastic spectral sampling of correspondence graph.

48
13 Mar 2024

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension

liuquan98/eyoc 6 Mar 2024

Registration of point clouds collected from a pair of distant vehicles provides a comprehensive and accurate 3D view of the driving scenario, which is vital for driving safety related applications, yet existing literature suffers from the expensive pose label acquisition and the deficiency to generalize to new data distributions.

3
06 Mar 2024

PCR-99: A Practical Method for Point Cloud Registration with 99% Outliers

sunghoon031/pcr-99 26 Feb 2024

We propose a robust method for point cloud registration that can handle both unknown scales and extreme outlier ratios.

11
26 Feb 2024

CLIPPER+: A Fast Maximal Clique Algorithm for Robust Global Registration

ariarobotics/clipperp 23 Feb 2024

The registration problem can be formulated as a graph and solved by finding its maximum clique.

17
23 Feb 2024

Registration of algebraic varieties using Riemannian optimization

flgoyens/variety-registration 16 Jan 2024

Our approach is particularly useful when the two point clouds describe different parts of an objects (which may not even be overlapping), on the condition that the surface of the object may be well approximated by a set of polynomial equations.

1
16 Jan 2024

Iterative Feedback Network for Unsupervised Point Cloud Registration

ivanxie416/ifnet 9 Jan 2024

In this paper, we propose a novel Iterative Feedback Network (IFNet) for unsupervised point cloud registration, in which the representation of low-level features is efficiently enriched by rerouting subsequent high-level features.

7
09 Jan 2024

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning

xmu-qcj/e2pnet NeurIPS 2023

While registration of 2D RGB images to 3D point clouds is a long-standing problem in computer vision, no prior work studies 2D-3D registration for event cameras.

6
30 Nov 2023

Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration

ivanxie416/cmignet 2 Nov 2023

Specifically, we first incorporate the projected images from the point clouds and fuse the cross-modal features using the attention mechanism.

7
02 Nov 2023

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation

jiang-hb/diffusionreg NeurIPS 2023

By contrast, the SE(3) reverse process focuses on learning a denoising network that refines the noisy transformation step-by-step, bringing it closer to the optimal transformation for accurate pose estimation.

44
26 Oct 2023