Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

10-2009

Abstract

The transmission of 3D models in the form of Geometry Images (GI) is an emerging and appealing concept due to the reduction in complexity from R3 to image space and wide availability of mature image processing tools and standards. However, geometry images often suffer from the artifacts and error during compression and transmission. Thus, there is a need to address the artifact reduction, error resilience and protection of such data information during the transmission across an error prone network. In this paper, we introduce a new concept, called Spectral Geometry Images (SGI), which naturally combines the powerful spectral analysis with geometry images. We show that SGI is more effective than GI to generate visually pleasing shapes at high compression rates. Furthermore, by coupling SGI to the proposed error protection scheme, we are able to ensure the smooth delivery of 3D model across error networks for different packet loss rate simulated using the two-state Markov model.

Keywords

Streaming 3D meshes, spectral analysis, geometry image, image compression, conformal parameterization, error resilience, transmission

Discipline

Computer Sciences | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

MM '09: Proceedings of the 17th ACM International Conference on Multimedia: October 19-24, Beijing, China

First Page

431

Last Page

440

ISBN

9781605586083

Identifier

10.1145/1631272.1631332

Publisher

ACM

City or Country

New York

Copyright Owner and License

Publisher

Additional URL

https://doi.org/10.1145/1631272.1631332

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