OOCTriTile is an out-of-core (OOC) method to split trimeshes into smaller tiles, according a user-defined size (in terms of numebr of vertices per tile).
Currently, OOCTriTile supports only triangle meshes encoded either as a single or a collection of OFF files.
OOCTriTile is provided as a collection of folders:
- examples: standalone applications to be used as an example of OOCTriTile usage
- external: externel dependencies, provided as git submodules
- include: main source code, provided as a header-only C++ library
- data: input data (triangle meshes) used for testing
Please, use --recursive when cloning this repository.
git clone --recursive https://github.com/DanielaCabiddu/OOCTriTile
OOCTriTile is provided as a header-only library, included into the include folder. To include OOCTriTile in your project, simply include the include folder in your code.
To build example applications included into the examples folder, use the build.sh script available in the example folder. To test example applications, use the test.sh script available in the example folder.
To build example applications included into the examples folder, use the build.sh script available in the example folder. To test example applications, use the test.sh script available in the example folder.
Microsoft Visual Studio 17 2022 is incompatible with the external dependency STXXL. To make it work, please either comment or remove lines 22-25 in external/stxxl/include/stxxl/bits/msvc_compatibility.h. Then, generate the Visual Studio solution via CMake and build it.
- Daniela Cabiddu (CNR IMATI), Marco Attene (CNR IMATI)
OOCTriTile is described into a journal paper
If you use OOCTriTile in your academic projects, please consider citing it using the following BibTeX entry:
@article{CABIDDU201581,
title = {Large mesh simplification for distributed environments},
journal = {Computers & Graphics},
volume = {51},
pages = {81-89},
year = {2015},
note = {International Conference Shape Modeling International},
issn = {0097-8493},
doi = {https://doi.org/10.1016/j.cag.2015.05.015},
url = {https://www.sciencedirect.com/science/article/pii/S009784931500062X},
author = {Daniela Cabiddu and Marco Attene},
keywords = {Indexed mesh, Out-of-core, Big data, Parallel algorithm},
abstract = {An algorithm is described to simplify arbitrarily large triangle meshes while leveraging the computing power of modern distributed environments. Our method combines the flexibility of out-of-core (OOC) techniques with the quality of accurate in-core algorithms, while representing a particularly fast approach thanks to the concurrent use of several computers in a network. When compared with existing parallel algorithms, the simplifications produced by our method exhibit a significantly higher accuracy. Furthermore, when our algorithm is run on a single machine, its speed is comparable with state-of-the-art OOC techniques, whereas the use of more machines enables relevant speedups. Noticeably, we observe that the speedup increases as the size of the input mesh grows.}
}This work is partly supported by the EU FP7 Project no. ICT-2011-318787 (IQmulus) and by the international joint project on “Mesh Repairing for 3D Printing Applications” funded by Software Architects Inc (WA, USA). The authors are grateful to all the colleagues at IMATI for the helpful discussions.