Reducing the number of wavelet coefficients by geometric partitioning

With the growing interest toward Internet-based graphic applications, the design of a scalable mesh compression scheme has become a key issue. Using the multi-scale transformation theory introduced by Lounsbery et al. (1997) along with the parameterization techniques of Eck et al. (1995) provides an...

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Bibliographic Details
Published in:Computational geometry : theory and applications 1999-11, Vol.14 (1), p.25-48
Main Author: Gioia, P.
Format: Article
Language:English
Subjects:
Levels of detail
Meshes
Multi-scale methods
Progressive transmission
Surfaces
Wavelets
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Summary:With the growing interest toward Internet-based graphic applications, the design of a scalable mesh compression scheme has become a key issue. Using the multi-scale transformation theory introduced by Lounsbery et al. (1997) along with the parameterization techniques of Eck et al. (1995) provides an elegant theoretical framework for producing compact multi-scale representations of surfaces. However, this approach fails to provide good compression and geometric faithfulness in all cases. To solve this problem, we propose a three-step method enabling efficient scalable compression of arbitrary mesh with faithful representations at any level of detail: a partitioning stage along with a triangulation enable the production of a base mesh which preserves the geometry of the model. Then an adaptive parameterization is constructed over this base mesh.
ISSN:0925-7721
DOI:10.1016/S0925-7721(99)00031-0