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  Hierarchical Shape-Adaptive Quantization for Geometry Compression

Gumhold, S. (2004). Hierarchical Shape-Adaptive Quantization for Geometry Compression. In Vision, modeling, and visualization 2004 (VMV-04) (pp. 293-298). Berlin, Germany: Akademische Verlagsgesellschaft Aka.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2AB3-E Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2AB4-C
Genre: Conference Paper

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 Creators:
Gumhold, Stefan1, Author           
Girod, Bernd, Editor
Magnor, Marcus2, Editor           
Seidel, Hans-Peter1, Editor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549              

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 Abstract: The compression of polygonal mesh geometry is still an active field of research as in 3d no theoretical bounds are known. This work proposes a geometry coding method based on predictive coding. Instead of using the vertex to vertex distance as distortion measurement, an approximation to the Hausdorffdistance is used resulting in additional degrees of freedom. These are exploited by a new adaptive quantization approach, which is independent of the encoding order. The achieved compression rates are similar to those of entropy based optimization but with a significantly faster compression performance.

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Language(s): eng - English
 Dates: 2005-05-302004
 Publication Status: Issued
 Pages: -
 Publishing info: Berlin, Germany : Akademische Verlagsgesellschaft Aka
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231963
Other: Local-ID: C125675300671F7B-D79543C9FC6FF6D4C1256F7000335C88-Gumhold2004
 Degree: -

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Title: Untitled Event
Place of Event: Stanford, USA
Start-/End Date: 2004-11-16

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Title: Vision, modeling, and visualization 2004 (VMV-04)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Berlin, Germany : Akademische Verlagsgesellschaft Aka
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 293 - 298 Identifier: ISBN: 3-89838-058-0