Search Results for "point clouds"
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Showing 7 open source projects for "point clouds"
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image 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. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and... -
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The 3D Toolkit provides algorithms and methods to process 3D point clouds. In includes automatic precise registration (6D simultaneous localization and mapping, 6D SLAM) and other tools, e.g., a fast 3D viewer, plane extraction software, etc.
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GTB: Graphics Toolbox
C++ libraries and apps for computer graphics and data visualization
The Graphics Toolbox (GTB) is a collection of C++ libraries and apps for computer graphics and data visualization. Wagner Correa initially created GTB as part of his Ph.D. research at Princeton University in collaboration with Professor Claudio Silva and Dr. James Klosowski. Several other researchers later contributed to GTB (see the AUTHORS file). -
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PyMesh
Geometry processing library for Python
PyMesh is a codebase developed by Qingnan Zhou for his PhD research at New York University. It is a rapid prototyping platform focused on geometry processing. PyMesh is written with both C++ and Python, where computational intensive functionalities are realized in C++, and Python is used for creating minimalistic and easy-to-use interfaces. PyMesh is a rapid prototyping platform focused on geometry processing. It provides a set of common mesh processing functionalities and interfaces with a... -
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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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KOR
multi-kinect system
Bundle of 2 softwares (extractor and merger). Extractor broadcast skeletons and clouds to the merger. Multiple extractors can be set in a local network. The merger holds transformation matrices for each extractor, allowing a efficient skeletons fusion from multiple point of view. The merged skeletons are broadcasted in OSC. This project is based on Melon: https://sourceforge.net/projects/kinect-melon/ [!] > requires OpenNI & NITE 1.5 -
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