bmerry / mlsgpu

Reconstruction of triangulated surfaces from range-scanned point clouds

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MLSGPU is software that constructs a triangulated mesh from a point cloud. It is designed to handle massive point clouds (billions of points), and uses OpenCL for GPU acceleration. It implements the method described in the paper Moving Least-Squares Reconstruction of Large Models with GPUs.

The documentation can be found at http://bmerry.github.io/mlsgpu. For the very impatient (who have all the dependencies installed), the installation process is

python waf configure --variant=release
python waf
sudo python waf install

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Reconstruction of triangulated surfaces from range-scanned point clouds

License:GNU General Public License v3.0


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