15 skills found
LimHyungTae / PatchworkSOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)
ppozzi / SLM 3dPointCloudPython library for generating 3d point cloud holograms, with phase only spatial light modulators, in real time through a GPU implementation of 5 algorithms (Random superposition, Gerchberg-Saxton, weighted Gerchberg-Saxton, compressed sensing Gerchberg-Saxton, compressed sensing weighted Gerchberg-Saxton).
dogyoonlee / RSMix[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples
lyffly / Python 3DPointCloud And RGBDusing python to process rgbd data and pointcloud data
apurv-nigam / 3DPointCloud IterativeClosestPointIterative Closest Point Algorithm is one of the best algorithm to register 3D Point Clouds. This code is about registration/alignment of point cloud data collected for an object from different camera positions.
ZhangZhiyuanZhang / Canonical Policy[T-RO 2026] Canonical Policy: Learning Canonical 3D Representation for SE(3)-Equivariant Policy
JonasHablitzel / PyGroundSegmentationPure Python Libary of Ground Segmentation Algorithms
Rabbia-Hassan / Deep Annular Residual Feature Learning For 3dPointCloudsCode release
theovincent / 3DPointCloudClassificationChallenge to classify 3D point clouds of cities into Ground - Building - Poles - Pedestrians - Cars - Vegetation
RadGorzy / 3DPointCloudClassification GUITool for classifying (and testing different classifiers) 3D point clouds (scenes or single objects). You can choose different (previously trained) classification models and various parameters regarding segmentation, projection. You can also save objects fulfilling given requirements (f. ex. class or neural net response).
weiweizhang6338 / ZW 3DPointCloudQt3D point cloud visualization environment configuration in Qt5
edshkim98 / 3DPointcloudA repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...
nyakasko / ZED 2 Change DetectionThis code is an initial version of the change detection algorithm developed using the ZED 2 stereo camera. The program was developed by Levente Göncz at SZTAKI (Institute for Computer Science and Control) in a framework of a 4 months long project.
Weber-PKU / 3DPointCloudTrackerThis project implements 3D object detection based on LiDAR point cloud, filtering targets through DBSCAN clustering with given prior coordinate information. The script provides an interactive GUI for parameter input and 3D visualization.
Hannibal730 / 3D Lidar Wall Detection WsReal-Time Wall Detection from 3D LiDAR Data in ROS (2025.06)
