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Authors: Eliška Mourycová and Libor Váša

Affiliation: Department of Computer Science and Engineering, University of West Bohemia, Univerzitní 8, Plzeň, Czech Republic

Keyword(s): Compression, Triangle Mesh, Encoding, Geometry.

Abstract: Triangle mesh compression is an established area, however, some of its special cases are yet to be investigated. This paper deals with lossy geometry compression of manifold triangle meshes based on the EdgeBreaker algorithm using a reference shape known to both the encoder and the decoder. It is assumed that the shape of the reference object is similar to the shape of the mesh to be encoded. The predictions of vertices positions are done extrinsically, i.e. outside the reference shape, and then orthogonally projected onto its surface. The corrections are encoded by two integer numbers, denoting the layer order and an index of a hexagon in a hexagonal grid generated on the surface of the reference shape centered at the prediction point. The availability of a reference mesh results in a smaller bitrate needed for comparable error when compared to a state of the art static mesh compression algorithm using weighted parallelogram prediction.

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Paper citation in several formats:
Mourycová, E. and Váša, L. (2022). Geometry Compression of Triangle Meshes using a Reference Shape. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 268-277. DOI: 10.5220/0010901100003124

@conference{grapp22,
author={Eliška Mourycová. and Libor Váša.},
title={Geometry Compression of Triangle Meshes using a Reference Shape},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP},
year={2022},
pages={268-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010901100003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP
TI - Geometry Compression of Triangle Meshes using a Reference Shape
SN - 978-989-758-555-5
IS - 2184-4321
AU - Mourycová, E.
AU - Váša, L.
PY - 2022
SP - 268
EP - 277
DO - 10.5220/0010901100003124
PB - SciTePress

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