Pinned Repositories
cgal-plane-detector
Plane detection with CGAL region growing algorithm
cluster
The codes的K-means，FCM，谱聚类，DBSCAN，AP（AffinityPropagation），DPC聚类算法比较
cut-pursuit
C++ implementation for the cut pursuit algorithm, with Matlab interfaces
dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
fast_point_cloud_sampling
Fast point cloud sampling using graph signal processing.
FRPC
Demonstrating how to use a graph based filter to conduct subsampling on an input point cloud
hybird_a_star_multiwaypoint
Hybird A* path planning with multi-waypoint
Hybrid_A_Star
Hybrid A Star algorithm C++ implementation
KinectV2_dataset_make
使用kinectv2制作自己的数据集
RF4PCC
RF4PCC: Random Forest 4 Point Cloud Classification, 3DOM FBK
Peterwangwei's Repositories
Peterwangwei/KinectV2_dataset_make
使用kinectv2制作自己的数据集
Peterwangwei/RF4PCC
RF4PCC: Random Forest 4 Point Cloud Classification, 3DOM FBK
Peterwangwei/cgal-plane-detector
Plane detection with CGAL region growing algorithm
Peterwangwei/cluster
The codes的K-means，FCM，谱聚类，DBSCAN，AP（AffinityPropagation），DPC聚类算法比较
Peterwangwei/cut-pursuit
C++ implementation for the cut pursuit algorithm, with Matlab interfaces
Peterwangwei/dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Peterwangwei/fast_point_cloud_sampling
Fast point cloud sampling using graph signal processing.
Peterwangwei/FRPC
Demonstrating how to use a graph based filter to conduct subsampling on an input point cloud
Peterwangwei/hybird_a_star_multiwaypoint
Hybird A* path planning with multi-waypoint
Peterwangwei/Hybrid_A_Star
Hybrid A Star algorithm C++ implementation
Peterwangwei/pcl-project
点云库PCL学习
Peterwangwei/peterweiwei
Peterwangwei/point_labeler
My awesome point cloud labeling tool
Peterwangwei/rbpf-gmapping
MatLab implementation of a Rao-Blacwellized Particle Filter for Grid- Based FastSlam
Peterwangwei/Scene-Recognition-in-3D
[IROS, 2020] Indoor Scene Recognition in 3D
Peterwangwei/torch-points3d
Pytorch framework for doing deep learning on point clouds.
Peterwangwei/learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
Peterwangwei/SparseTransformer
A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).
Peterwangwei/SphereFormer
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).