A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
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Updated
Jun 11, 2024 - Python
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.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.
Importer, chunker and LOD generator with PCX-based importing and rendering mechanisms for PLY pointcloud files in Unity
Mesh processing library
Lidar Obstacle Detection using RANSAC and DBSCAN
A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data
The follwing work is part of internship project developed by me as a master student in Robotics and Mechatronics.
[ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377
Point Cloud Library (PCL)
platform for annotation of images, training an object detection model (fixed model, different datasets), running detection with pre-trained and in-app trained models, reviewing detection result on a georeferenced map. specialized for waste detection. management of legal landfills through input waste form and 3D point cloud scans.
A feature line extractor from terrain point cloud data using projection-based approach.
The public CGAL repository, see the README below
Paper reading notes on Deep Learning and Machine Learning
The open source mesh processing system
Tutorial for creating DSM from LiDAR data in R
Metashape step-by-step tutorial for creating point clouds, orthomosaic, DEM and meshed model from arial images
A fully templated C++ implementation of general-use algorithms for robotic perception and visual servoing.
Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.