Open3D: A Modern Library for 3D Data Processing
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Updated
Jun 1, 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.
Open3D: A Modern Library for 3D Data Processing
Mesh processing library
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
3D CAD viewer and converter based on Qt + OpenCascade
Point Cloud Library (PCL)
A 3D and 2D processing base on glam
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
Tutorial for creating DSM from LiDAR data in R
Mesh processing application
Efficient and parallel algorithms for point cloud registration [C++, Python]
A handy tool for dealing with region of interest (ROI) on the image reconstruction (Metashape & Pix4D) outputs, mainly in agriculture applications
ROS package for converting scan to pcl
Implementation of the paper "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation"
Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.
Synthetic tree point cloud dataset with ground truth skeletons.
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
A PointCloud2 message conversion library for ROS1 and ROS2.