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Computer Graphics Forum
Article . 2016 . Peer-reviewed
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Scalable Feature‐Preserving Irregular Mesh Coding

Authors: El Sayeh Khalil, Jonas; Munteanu, Adrian; Denis, Leon; Lambert, Peter; Van De Walle, Rik;

Scalable Feature‐Preserving Irregular Mesh Coding

Abstract

AbstractThis paper presents a novel wavelet‐based transform and coding scheme for irregular meshes. The transform preserves geometric features at lower resolutions by adaptive vertex sampling and retriangulation, resulting in more accurate subsampling and better avoidance of smoothing and aliasing artefacts. By employing octree‐based coding techniques, the encoding of both connectivity and geometry information is decoupled from any mesh traversal order, and allows for exploiting the intra‐band statistical dependencies between wavelet coefficients. Improvements over the state of the art obtained by our approach are three‐fold: (1) improved rate–distortion performance over Wavemesh and IPR for both the Hausdorff and root mean square distances at low‐to‐mid‐range bitrates, most obvious when clear geometric features are present while remaining competitive for smooth, feature‐poor models; (2) improved rendering performance at any triangle budget, translating to a better quality for the same runtime memory footprint; (3) improved visual quality when applying similar limits to the bitrate or triangle budget, showing more pronounced improvements than rate–distortion curves.

Related Organizations
Keywords

I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling–Hierarchy and geometric transformations G.1.2 [Numerical Analysis]: Approximation–Approximation of surfaces and contours, scalable mesh compression, Wavelets and fractals E.4 [Coding and Information Theory]: Data compaction and compression, scalable rendering, level of detail algorithms

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green