Mesh processing library
-
Updated
Jun 13, 2024 - C++
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
Mesh processing library
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
3D CAD viewer and converter based on Qt + OpenCascade
Open3D: A Modern Library for 3D Data Processing
Python programs for filtering/segmenting vegetation from bare-Earth points in point clouds with RGB colour. This repo is supplementary to my AGU presentation in December 2021 and my manuscript published in Remote Sensing in June 2024.
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Efficient and parallel algorithms for point cloud registration [C++, Python]
Point Cloud Library (PCL)
A Python module designed to simplify the rendering of markers in RViz and to support custom transform, animation, and other marker related features.
Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.
NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
Tutorial for creating DSM from LiDAR data in R
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
3D immersive software for visualization and mensuration of LIDAR point clouds
A 3D and 2D processing base on glam
Synthetic tree point cloud dataset with ground truth skeletons.
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
Compute point cloud geometric features from python