Geometry Compression of Triangle Meshes using a Reference Shape
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43967206" target="_blank" >RIV/49777513:23520/22:43967206 - isvavai.cz</a>
Result on the web
<a href="https://www.insticc.org/node/TechnicalProgram/visigrapp/2022/presentationDetails/109011" target="_blank" >https://www.insticc.org/node/TechnicalProgram/visigrapp/2022/presentationDetails/109011</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010901100003124" target="_blank" >10.5220/0010901100003124</a>
Alternative languages
Result language
angličtina
Original language name
Geometry Compression of Triangle Meshes using a Reference Shape
Original language description
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.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA20-02154S" target="_blank" >GA20-02154S: Representation and processing methods for three dimensional dynamic shapes</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
VISIGRAPP 2022 : proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 1, GRAPP
ISBN
978-989-758-555-5
ISSN
2184-4321
e-ISSN
—
Number of pages
10
Pages from-to
268-277
Publisher name
ScitePress
Place of publication
Setúbal
Event location
online
Event date
Feb 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000774795400028