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Showing 30 open source projects for "linux"
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Intel RealSense
Intel® RealSense SDK
Intel® RealSense™ SDK 2.0 is a cross-platform library for Intel® RealSense™ depth cameras. The SDK allows depth and color streaming and provides intrinsic and extrinsic calibration information. The library also offers synthetic streams (point cloud, depth aligned to color and vise-versa), and built-in support for recording and playback of streaming sessions. Intel has EOLed the LiDAR, Facial Authentication, and Tracking product lines. These products have been discontinued and will no longer... -
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CloudCompare
CloudCompare main repository
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It was also meant to deal with huge point clouds (typically more than 10 million points, and up to 120 million with 2 GB of memory). -
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COLMAP
Structure-from-Motion and Multi-View Stereo
COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for the reconstruction of ordered and unordered image collections. The software is licensed under the new BSD license. -
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
...An additional Wiki resource for developers is available too. To simplify both usage and development, we split PCL into a series of modular libraries. PCL is cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows, and Android. To simplify development, PCL is split into a series of smaller code libraries, that can be compiled separately. This modularity is important for distributing PCL on platforms with reduced computational or size constraints. -
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Discontinuity Set Extractor (DSE) is programmed by Adrián Riquelme for testing part of his PdD studies. Its aim is to extract discontinuity sets from a rock mass. The input data is a 3D point cloud, which can be acquired by means of a 3D laser scanner (LiDAR or TLS), digital photogrammetry techniques (such as SfM) or synthetic data. It applies a proposed methodology to semi-automatically identify points members of an unorganised 3D point cloud that are arranged in 3D space by planes.
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pyntcloud
pyntcloud is a Python library for working with 3D point clouds
This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. Accurate 3D point clouds can nowadays be (easily and... -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also... -
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Objectron
A dataset of short, object-centric video clips
The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists... -
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Semantic Segmentation Editor
Web labeling tool for bitmap images and point clouds
A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js. -
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XIVO
X Inertial-aided Visual Odometry
XIVO is an open-source repository for visual-inertial odometry/mapping. It is a simplified version of Corvis [Jones et al.,Tsotsos et al.], designed for pedagogical purposes, and incorporates odometry (relative motion of the sensor platform), local mapping (pose relative to a reference frame of the oldest visible features), and global mapping (pose relative to a global frame, including loop-closure and global re-localization, this feature, present in Corvis, is not yet incorporated in XIVO).... -
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Dynamic Robot Localization
Point cloud registration pipeline for robot localization and 3D
The dynamic_robot_localization is a ROS package that offers 3 DoF and 6 DoF localization using PCL and allows dynamic map update using OctoMap. It's a modular localization pipeline, that can be configured using yaml files (detailed configuration layout available in drl_configs.yaml and examples of configurations available in guardian_config and dynamic_robot_localization_tests). Even though this package was developed for robot self-localization and mapping, it was implemented as a generic,... -
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3DFOREST
tool for manage and process TLS lidar data from forest environment
Software tool for tree atributes extraction from point cloud data acquired by terrestrial laser scanner in forest enviroment. 3DForest is not only a visualizer af data but brings new and complex data management for foresters and researchers -
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ofxKuZed-zedExample
Compiled example for ofxKuZed addon
This is openFrameworks's ofxKuZed addon with compiled example of its usage. This example shows depth map, masked color image and point cloud from StereoLabs ZED. Requirements: - Windows - ZED SDK 1.0 or later (https://cloud.mail.ru/public/8Luw/yPxdYh91A) - CUDA 7.5 (and NVidia card) https://cloud.mail.ru/public/79z4/164HTQkeq - Visual Studio 2015 Community C++ (or its redistributables https://cloud.mail.ru/public/AgYD/r9JLgBc9y) See details on installation and example usage at... -
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Point Cloud Skinner for Blender
Python script (addon) for Blender to skin point cloud (verts to face).
What is Point Cloud Skinner? This is a Python script for Blender 2.6x or later and allows you to create a surface from just a cloud of vertices. You can get a complete 3D mesh with faces on it out of just a point cloud that has only vertices and no faces. Please watch the video to get the idea of what the script can do for your artwork. Features: This script, Point Cloud Skinner can skin a cloud of vertices, which means to create a 3D surfaced mesh out of just a cloud of vertices... -
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Manifold mesh processing
Mesh and point cloud processing tools
A suite of tools for processing and analyzing meshes and point clouds. 1) Ensuring that meshes are manifold, ie, "nice" 2) Simple smoothing/noise reduction 3) Bare-bones point cloud to mesh and robust normals for point clouds 4) Mesh simplification 5) Curvature calculation on meshes 6) Local shape descriptors on meshes -
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Canopy Reconstruction
Software for the reconstruction of plants using multiple camera views
This software reconstructs 3D plant models in multiple views. Point cloud input is segmented, then patches of leaf surface are grown using the level set method. Please see the CPIB website for news of updates and further development. -
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EkNN
Extracting k nearest neighbors for point cloud
Speed up kNN searching algorithm by extracting nearest neighbors diectly other than searching them one by one -
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Point Cloud Library
Standalone, large scale, open project for 3D point cloud processing.
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. We are financially supported by Open Perception, Willow Garage, NVIDIA, Google, Toyota, Trimble, Urban Robotics, Honda Research Institute, Sandia, Dinast, Optronic, Ocular Robotics, Velodyne, Fotonic, Leica Geosystems, and MKE. We would also like to thank individual donors and... -
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connect3d
Reconstruct Water-Tight Triangulation from Point Cloud
This software reconstructs water-tight triangulations from point clouds, interpolating the points. It approximates the triangle mesh which minimizes the sum of all triangles' longest edge. As a result, it can interpolate much more sparse sampling as state-of-the-art algorithms. Run-time is in practice linear to that of the Delaunay triangulation of the points. The software is designed as a command-line tool. It can also be used as a library. A plug-in for the Meshlab geometry software is... -
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ZPR is a program that produces orthophotos. The method used is to give colors to point-cloud (photo obtained by a digital camera, cloud obtained by a laser scanner) and to project the point-cloud to a requested plane. With this method, the projection pla
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BADGr
Toolbox for Box Approximation, Decomposition, and Grasping
BADGr, the BoxGrasping toolbox, is a package for Box Approximation, Decomposition, and Grasping. The toolbox was developed in the Computer Vision & Active Perception Lab, at the Royal Institute of Technology, as a participant of the EU research project PACO-PLUS, and published at the project's end in Summer 2010. BADGr provides modules to approximate the shape of a point cloud (possibly from sensor data) by box primitives. These box primitives then serve as a base for the generation of... -
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This work presents an open-source tool for viewing the depth map information captured by Microsofts Kinect sensor in a distributed way as a 3D point cloud inside the web browser.
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Various tools for point cloud processing. Similarity transformations, 2.5D incisions and Point Cloud coloring.
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This project is about the implementation of algorithms studied during mathematics and computer graphic courses for my MS's last year ( Point cloud approximation, Hermitian interpolation, Bezier / B-Spline Curves, Convex Hull, Delaunay triangulation
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Open source point cloud viewer forked from Radiohead House of Cards Project, based on the Processing Programming Language.
