3D Feature Matching
10 papers with code • 1 benchmarks • 4 datasets
Image: Choy et al
Benchmarks
These leaderboards are used to track progress in 3D Feature Matching
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
3DMatch
DeformingThings4D
4DMatch
CPNet
Latest papers with no code
Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration
Estimating the rigid transformation between two LiDAR scans through putative 3D correspondences is a typical point cloud registration paradigm.
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
3D point cloud registration ranks among the most fundamental problems in remote sensing, photogrammetry, robotics and geometric computer vision.
StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks
Furthermore, we integrate our matching system into a LiDAR odometry pipeline yielding most accurate results on the KITTI odometry dataset.
Multi-scale Cross-form Pyramid Network for Stereo Matching
The network consists of three modules: Multi-Scale 2D local feature extraction module, Cross-form spatial pyramid module and Multi-Scale 3D Feature Matching and Fusion module.
Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map
In this paper, we introduce a global method which harnesses global contextual information exhibited both within the query image and among all the 3D points in the map.
Fast Rotation Search with Stereographic Projections for 3D Registration
In this work, assuming that the translation parameters are known, we focus on constructing a fast rotation search algorithm.
