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18 changes: 2 additions & 16 deletions LICENSE.md
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=====================================================================

Copyright 2023 Markus Schütz and Bernhard Kerbl
Copyright 2023 Markus Schütz and Lukas Herzberger

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

=====================================================================

Some files have special licenses, such as seascape.cu:

/*
* "Seascape" by Alexander Alekseev aka TDM - 2014
* License Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
* Contact: [email protected]
*/

=====================================================================
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
35 changes: 30 additions & 5 deletions README.md
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# SimLOD: Simultaneous LOD Generation and Rendering
Markus Schütz, Lukas Herzberger, Michael Wimmer

Paper: <a href="https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-SIMLOD/SCHUETZ-2023-SIMLOD-paper.pdf">"SimLOD: Simultaneous LOD Generation and Rendering"</a>.

This project loads point clouds, creates an LOD structure on-the-fly, and immediatelly displays the results in real time.

This project loads point clouds, creates an LOD structure on-the-fly, and immediatelly displays the results in real time. This repository contains the source code for the paper "SimLOD: Simultaneous LOD Generation and Rendering".

On an RTX 4090 and PCIe 5.0 SSD (12GB/s), we are able to load and real-time render point clouds at rates of about 200-300 million points per second (MP/s) from the LAS format, 30 MP/s from compressed LAZ files, and up to 580 MP/s from an optimal XYZRGBA(16bytes/point) format.

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#### Prebuilt windows binaries

* TODO: Add link to binary release.
* Prebuilt binaries are available at the release page: https://github.com/m-schuetz/SimLOD/releases/

#### Windows with Visual Studio 2022

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</tr>
</table>

## Data Sets

Different subsets of San Simeon, specifically the Morro Bay area, are provided as test data. Each archive contains the same point cloud in las, laz and simlod formats.

* <a href="https://users.cg.tuwien.ac.at/~mschuetz/permanent/morro_bay_36.zip">Morro Bay (36M points)</a>
* <a href="https://users.cg.tuwien.ac.at/~mschuetz/permanent/morro_bay_73M.zip">Morro Bay (73M points)</a>
* <a href="https://users.cg.tuwien.ac.at/~mschuetz/permanent/morro_bay_167M.zip">Morro Bay (167M points)</a>
* <a href="https://users.cg.tuwien.ac.at/~mschuetz/permanent/morro_bay_350M.zip">Morro Bay (350M points)</a>

The <a href="https://doi.org/10.5069/G9CN71V5">full San Simeon data set (18 billion points)</a> is available at Open Topography:
<pre>PG&E Diablo Canyon Power Plant (DCPP): San Simeon and Cambria Faults, CA. Distributed by OpenTopography. https://doi.org/10.5069/G9CN71V5 . Accessed: 2023-10-05
</pre>


## Bibtex

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## References

Most relevant related work

*
Most relevant related work:

* WAND, MICHAEL, BERNER, ALEXANDER, BOKELOH,
MARTIN, et al. “Processing and interactive editing of huge point clouds
from 3D scanners”. Computers & Graphics 32.2 (2008), 204–220 2–4,10.
* GOBBETTI, ENRICO and MARTON, FABIO. “Layered Point
Clouds: A Simple and Efficient Multiresolution Structure for Distributing and Rendering Gigantic Point-sampled Models”. Comput. Graph.
28.6 (2004), 815–826 2, 3.
* SCHÜTZ, MARKUS, KERBL, BERNHARD, KLAUS, PHILIP,
and WIMMER, MICHAEL. GPU-Accelerated LOD Generation for Point
Clouds. Feb. 2023.

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