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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 available as well.
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.
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 GitHub:
https://github.com/kuflex/ofxKuZed
### mesh reconstruction from point cloud # filters the input data eliminating noise # creates a quad shell - mesh with inside and thickness ### additional info: - GUI using Clan-Lib SDK