| zhulf0804/3D-PointCloud |
1,940 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
|
Python |
| Papers and Datasets about Point Cloud. |
| YuePanEdward/GH-ICP |
145 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
gpl-3.0 |
C++ |
| GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric |
| zgojcic/3D_multiview_reg |
102 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
mit |
Python |
| Learning multiview 3D point cloud registration |
| iralabdisco/point_clouds_registration_benchmark |
83 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Python |
| A benchmark for point clouds registration algorithms |
| nghiaho12/Open3D_TrueDepth_registration |
72 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
bsd-2-clause |
Python |
| Automatic point cloud registration from Apple's TrueDepth camera system using Open3D |
| MIDA-group/CoMIR |
66 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
other |
Jupyter Notebook |
| Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches |
| Borda/BIRL |
63 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
bsd-3-clause |
Python |
| BIRL: Benchmark on Image Registration methods with Landmark validations |
| XiaoshuiHuang/fmr |
62 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
mit |
Python |
| This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences" |
| zexinyang/GlobalMatch |
54 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
apache-2.0 |
C++ |
| GlobalMatch: Registration of forest terrestrial point clouds by global matching of relative stem positions [ISPRS 2023] |
| rg2/DeepFluoroLabeling-IPCAI2020 |
39 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
other |
Python |
| Code and data for the "annotation" component of the IPCAI 2020 paper: "Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration." https://arxiv.org/abs/1911.07042 or https://doi.org/10.1007/s11548-020-02162-7 |
