Efficient Ray Traversal of Constrained Delaunay Tetrahedralization

Maxime Maria, Sébastien Horna, Lilian Aveneau

2017

Abstract

Acceleration structures are mandatory for ray-tracing applications, allowing to cast a large number of rays per second. In 2008, Lagae and Dutr\'{e} have proposed to use Constrained Delaunay Tetrahedralization (CDT) as an acceleration structure for ray tracing. Our experiments show that their traversal algorithm is not suitable for GPU applications, mainly due to arithmetic errors. This article proposes a new CDT traversal algorithm. This new algorithm is more efficient than the previous ones: it uses less arithmetic operations; it does not add extra thread divergence since it uses a fixed number of operation; at last, it is robust with 32-bits floats, contrary to the previous traversal algorithms. Hence, it is the first method usable both on CPU and GPU.

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Paper Citation


in Harvard Style

Maria M., Horna S. and Aveneau L. (2017). Efficient Ray Traversal of Constrained Delaunay Tetrahedralization . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2017) ISBN 978-989-758-224-0, pages 236-243. DOI: 10.5220/0006131002360243


in Bibtex Style

@conference{grapp17,
author={Maxime Maria and Sébastien Horna and Lilian Aveneau},
title={Efficient Ray Traversal of Constrained Delaunay Tetrahedralization},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2017)},
year={2017},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006131002360243},
isbn={978-989-758-224-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2017)
TI - Efficient Ray Traversal of Constrained Delaunay Tetrahedralization
SN - 978-989-758-224-0
AU - Maria M.
AU - Horna S.
AU - Aveneau L.
PY - 2017
SP - 236
EP - 243
DO - 10.5220/0006131002360243