Feature Oriented Progressive Lossless Mesh Coding

A feature‐oriented generic progressive lossless mesh coder (FOLProM) is proposed to encode triangular meshes with arbitrarily complex geometry and topology. In this work, a sequence of levels of detail (LODs) are generated through iterative vertex set split and bounding volume subdivision. The incre...

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Veröffentlicht in:Computer graphics forum Jg. 29; H. 7; S. 2029 - 2038
Hauptverfasser: Peng, Jingliang, Huang, Yan, Kuo, C.-C. Jay, Eckstein, Ilya, Gopi, M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.09.2010
Schlagworte:
3-D graphics
Adaptive control systems
Coding
E.4 [Data]: CODING AND INFORMATION THEORY-Data compaction and compression
Entropy
Gain
Geometry
Hierarchies
Image coding
Lossless
Optimization
Optimization techniques
Studies
Subdivisions
ISSN:0167-7055, 1467-8659
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Zusammenfassung:A feature‐oriented generic progressive lossless mesh coder (FOLProM) is proposed to encode triangular meshes with arbitrarily complex geometry and topology. In this work, a sequence of levels of detail (LODs) are generated through iterative vertex set split and bounding volume subdivision. The incremental geometry and connectivity updates associated with each vertex set split and/or bounding volume subdivision are entropy coded. Due to the visual importance of sharp geometric features, the whole geometry coding process is optimized for a better presentation of geometric features, especially at low coding bitrates. Feature‐oriented optimization in FOLProM is performed in hierarchy control and adaptive quantization. Efficient coordinate representation and prediction schemes are employed to reduce the entropy of data significantly. Furthermore, a simple yet efficient connectivity coding scheme is proposed. It is shown that FOLProM offers a significant rate‐distortion (R‐D) gain over the prior art, which is especially obvious at low bitrates.
Bibliographie:istex:9BB2975CBA062A1FB1FC7DB0903F920C00942205
ark:/67375/WNG-6DD9S8RB-9
ArticleID:CGF1789
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2010.01789.x