Showing 1-15 of 15 projects
Open3D is a modern C++ library for 3D data processing, including reconstruction, registration, and visualization.
Point Cloud Library (PCL) is a powerful open-source library for 3D computer vision and point cloud processing.
PyTorch implementation of PointNet and PointNet++ for 3D point cloud classification and segmentation.
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
A comprehensive collection of papers and datasets for 3D point cloud processing, useful for developers working on autonomous driving and computer vision.
Web-based tool for labeling bitmap images and point cloud data for semantic segmentation ML models.
3D CAD viewer and converter with support for various file formats, built on Qt and OpenCascade.
A C++ library for real-time state estimation and mapping using a 3D lidar sensor.
A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.
A comprehensive guide to the powerful photogrammetry technique used for 3D reconstruction, surveying, and more.
PointCNN: A deep learning model for point cloud processing and feature extraction.
A Python library for reconstructing watertight meshes from point clouds using deep learning.
An awesome list of LIDAR hardware, software, datasets, and tools for autonomous driving and 3D applications.
A Three.js-based framework for visualizing 3D geospatial data in the browser.
An open-source SLAM (Simultaneous Localization and Mapping) library for 3D LiDAR odometry and mapping.
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