taowuyong / Fast-and-automatic-registration-of-terrestrial-point-clouds-using-2D-line-featuresLinks
We provide the Matlab code of a point cloud coarse registration algorithm, which is performed by using 2D line features. The main advantage of the algorithm is its high computation efficiency. Everyone is welcome to use the code for research work, and please cite my paper (Wuyong Tao, Xianghong Hua, Zhiping Chen and Pengju Tian. (2020). Fast and…
☆12Updated 4 years ago
Alternatives and similar repositories for Fast-and-automatic-registration-of-terrestrial-point-clouds-using-2D-line-features
Users that are interested in Fast-and-automatic-registration-of-terrestrial-point-clouds-using-2D-line-features are comparing it to the libraries listed below
Sorting:
- This repository contains several baseline algorithms for cross-source point cloud registration.☆47Updated 4 years ago
- PLADE: A Plane-based Descriptor for Point Cloud Registration with Small Overlap☆113Updated last year
- SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)☆188Updated last year
- python implementation of Vo et al.'s paper "Octree-based region growing for point cloud segmentation"☆23Updated last year
- Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".☆49Updated 3 years ago
- The implementation for Intrinsic and Isotropic Resampling for 3D Point Clouds☆20Updated 3 years ago
- SC^2-PCR++: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (TPAMI)☆64Updated last year
- Approximate Intrinsic Voxel Structure for Point Cloud Simplification☆34Updated last year
- [CVPR 2024] Scalable 3D Registration via Truncated Entry-wise Absolute Residuals☆69Updated 10 months ago
- [TPAMI 2023] RoReg: Pairwise Point Cloud Registration with Oriented Descriptors and Local Rotations☆131Updated last year
- ☆47Updated 3 months ago
- ☆15Updated 2 years ago
- [CVPR 2023] BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration☆94Updated last year
- Compute descriptors for 3D point cloud registration using a multi scale sparse voxel architecture☆67Updated 3 years ago
- Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.☆113Updated 2 years ago
- PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"☆137Updated 3 years ago
- [ ISPRS ] Hierarchical Loop-based Multiview Registration Framework☆82Updated 2 years ago
- ☆71Updated 6 years ago
- This is a project for 3D point cloud registration task☆30Updated 2 years ago
- ☆25Updated 3 years ago
- [ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors☆152Updated last year
- The source code for point cloud segmentation.☆41Updated 5 years ago
- The source code of the CVPR paper "Multi-instance Point Cloud Registration by Efficient Correspondence Clustering"☆38Updated 3 years ago
- [TPAMI 2024] Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search☆19Updated 7 months ago
- A no dependency, header-only, fast supervoxel segmentation library for 3D point clouds☆244Updated 2 years ago
- [ECCV-2024] Boosting PCR with Multi-level Semantic Consistency☆24Updated 7 months ago
- Point Cloud Registration using Representative Overlapping Points. https://arxiv.org/abs/2107.02583.☆72Updated 4 years ago
- point cloud simplification....☆38Updated 6 years ago
- [CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting☆224Updated last year
- 经典点云去噪算法代码总结☆26Updated 3 years ago