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A list of papers and datasets about point cloud analysis (processing)
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
A fast and robust point cloud registration library
[ECCV'20] Convolutional Occupancy Networks
Updated
Nov 13, 2021
Python
My awesome point cloud labeling tool
Python implementation of SLAM algorithm Stereo-PTAM
Updated
Jan 9, 2018
Python
[ICCV' 21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"
Updated
Feb 10, 2022
Python
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
Updated
Aug 5, 2021
Python
PDollar algorithm Unity friendly
Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
Fully-Convolutional Point Networks for Large-Scale Point Clouds
Updated
Mar 22, 2019
Python
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Updated
Oct 3, 2019
Python
Automatically registers (aligns) and visualizes point clouds, or processes a whole bunch at once
Modified version of non-rigid Iterative closest point algorithm for fitting to noisy point clouds
Updated
Apr 1, 2019
Python
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Updated
Mar 12, 2022
Python
Deep learning for grasp detection within MoveIt.
K-Closest Points and Maximum Clique Pruning for Efficient and Effective 3-D Laser Scan Matching (RA-L 2022)
Python implementation of RGBD-PTAM algorithm
Updated
Jan 6, 2018
Python
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
Updated
May 8, 2020
Python
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Updated
Sep 14, 2019
Python
Flow-based generative model for 3D point clouds.
Updated
Oct 30, 2020
Python
A multipurpose tool for medical physics.
Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)
Updated
May 11, 2021
Python
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In las file format, vlrs info is crucial to correctly describe point's spatial location.
However, if you try to use pyntcloud.las_header.vlrs, you wouldn't get anything, the value is alway none.
Through your source code, I can see you try to use
data["las_header"] = las.headerBut it can not pass vlrs or evlrs info into new object, because in laspy, vlrs info is dynamically obtained afterw