liuyunxingshui / Point_Cloud_Registration
利用基于FPFH(Fast Point Feature Histograms)的特征描述符进行快速粗配准,通过ICP(Iterative Closest Point)算法进行精细调整,以实现高精度的点云对齐。
☆25Updated 8 months ago
Alternatives and similar repositories for Point_Cloud_Registration:
Users that are interested in Point_Cloud_Registration are comparing it to the libraries listed below
- ☆46Updated last year
- Comparison of SHOT and FPFH descriptors for 3D point clouds registration☆22Updated 6 months ago
- ☆67Updated 2 weeks ago
- [IEEE RAL 2022] UGMM: Unsupervised Point Cloud Registration by Learning Unified Gaussian Mixture Models☆13Updated last year
- This is the clean implementation of PointNetLK with pretrained models. (A 3D point cloud registration network)☆53Updated last year
- Point Cloud Registration using Representative Overlapping Points. https://arxiv.org/abs/2107.02583.☆68Updated 3 years ago
- Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.☆106Updated last year
- PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"☆129Updated 2 years ago
- Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".