Streaming 3D Meshes Using Spectral Geometry Images

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 du...

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Main Authors: HE, Ying, CHEW, Boon Seng, WANG, Dayong, HOI, Steven C. H., CHAU, Lap Pui
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Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/2370
https://ink.library.smu.edu.sg/context/sis_research/article/3370/viewcontent/Streaming3DMeshesSpectralGeometryImages_2009_MM.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-33702020-03-30T08:50:37Z Streaming 3D Meshes Using Spectral Geometry Images HE, Ying CHEW, Boon Seng WANG, Dayong HOI, Steven C. H. CHAU, Lap Pui 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. 2009-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2370 info:doi/10.1145/1631272.1631332 https://ink.library.smu.edu.sg/context/sis_research/article/3370/viewcontent/Streaming3DMeshesSpectralGeometryImages_2009_MM.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Streaming 3D meshes spectral analysis geometry image image compression conformal parameterization error resilience transmission Computer Sciences Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Streaming 3D meshes
spectral analysis
geometry image
image compression
conformal parameterization
error resilience
transmission
Computer Sciences
Databases and Information Systems
spellingShingle Streaming 3D meshes
spectral analysis
geometry image
image compression
conformal parameterization
error resilience
transmission
Computer Sciences
Databases and Information Systems
HE, Ying
CHEW, Boon Seng
WANG, Dayong
HOI, Steven C. H.
CHAU, Lap Pui
Streaming 3D Meshes Using Spectral Geometry Images
description 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.
format text
author HE, Ying
CHEW, Boon Seng
WANG, Dayong
HOI, Steven C. H.
CHAU, Lap Pui
author_facet HE, Ying
CHEW, Boon Seng
WANG, Dayong
HOI, Steven C. H.
CHAU, Lap Pui
author_sort HE, Ying
title Streaming 3D Meshes Using Spectral Geometry Images
title_short Streaming 3D Meshes Using Spectral Geometry Images
title_full Streaming 3D Meshes Using Spectral Geometry Images
title_fullStr Streaming 3D Meshes Using Spectral Geometry Images
title_full_unstemmed Streaming 3D Meshes Using Spectral Geometry Images
title_sort streaming 3d meshes using spectral geometry images
publisher Institutional Knowledge at Singapore Management University
publishDate 2009
url https://ink.library.smu.edu.sg/sis_research/2370
https://ink.library.smu.edu.sg/context/sis_research/article/3370/viewcontent/Streaming3DMeshesSpectralGeometryImages_2009_MM.pdf
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