Mesh processing library
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Updated
Jun 12, 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
Efficient and parallel algorithms for point cloud registration [C++, Python]
Point Cloud Library (PCL)
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
A Python module designed to simplify the rendering of markers in RViz and to support custom transform, animation, and other marker related features.
Open3D: A Modern Library for 3D Data Processing
Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.
3D CAD viewer and converter based on Qt + OpenCascade
NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
Tutorial for creating DSM from LiDAR data in R
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
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.
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
An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.