A Predictor for Triangle Mesh Compression Working in Tangent Space

Petr Vaněček, Filip Hácha, Libor Váša

2024

Abstract

Triangle mesh compression has been a popular research topic for decades. Since a plethora of algorithms has been presented, it is becoming increasingly difficult to come up with significant performance improvements. Some of the recent advances in compression efficiency come at the cost of rather steep implementation and/or computational expense, which has profound consequences on their practicality. Ultimately it becomes increasingly difficult to come up with improvements that are reasonably easy to implement and do not harm the computational efficiency of the compression/decompression procedure. In this paper, we analyze a combination of two previously known techniques, namely using the local coordinates for expressing compression residuals and weighted parallelogram prediction, which were not previously investigated together. We report that such approach outperforms industry standard Draco on a large set of test meshes in terms of rate/distortion ratio, while retaining beneficial properties such as simplicity and computational efficiency.

Paper Citation

in Harvard Style

Vaněček P., Hácha F. and Váša L. (2024). A Predictor for Triangle Mesh Compression Working in Tangent Space. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-679-8, SciTePress, pages 236-243. DOI: 10.5220/0012352900003660

in Bibtex Style

@conference{grapp24,
author={Petr Vaněček and Filip Hácha and Libor Váša},
title={A Predictor for Triangle Mesh Compression Working in Tangent Space},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2024},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012352900003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - A Predictor for Triangle Mesh Compression Working in Tangent Space
SN - 978-989-758-679-8
AU - Vaněček P.
AU - Hácha F.
AU - Váša L.
PY - 2024
SP - 236
EP - 243
DO - 10.5220/0012352900003660
PB - SciTePress