Geometry and Attribute Compression for Voxel Scenes.
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| Title: | Geometry and Attribute Compression for Voxel Scenes. |
|---|---|
| Authors: | Dado, Bas1, Kol, Timothy R.1 t.r.kol@tudelft.nl, Bauszat, Pablo1 p.bauszat@tudelft.nl, Thiery, Jean‐Marc1, Eisemann, Elmar1 e.eisemann@tudelft.nl |
| Source: | Computer Graphics Forum. May2016, Vol. 35 Issue 2, p397-407. 11p. 5 Color Photographs, 6 Charts, 2 Graphs. |
| Subjects: | Computer graphics research, Computer art, Digital image processing, Graphic arts, Data visualization |
| Abstract: | Voxel-based approaches are today's standard to encode volume data. Recently, directed acyclic graphs (DAGs) were successfully used for compressing sparse voxel scenes as well, but they are restricted to a single bit of (geometry) information per voxel. We present a method to compress arbitrary data, such as colors, normals, or reflectance information. By decoupling geometry and voxel data via a novel mapping scheme, we are able to apply the DAG principle to encode the topology, while using a palette-based compression for the voxel attributes, leading to a drastic memory reduction. Our method outperforms existing state-of-the-art techniques and is well-suited for GPU architectures. We achieve real-time performance on commodity hardware for colored scenes with up to 17 hierarchical levels (a 128K3voxel resolution), which are stored fully in core. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 115774598 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Geometry and Attribute Compression for Voxel Scenes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dado%2C+Bas%22">Dado, Bas</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kol%2C+Timothy+R%2E%22">Kol, Timothy R.</searchLink><relatesTo>1</relatesTo><i> t.r.kol@tudelft.nl</i><br /><searchLink fieldCode="AR" term="%22Bauszat%2C+Pablo%22">Bauszat, Pablo</searchLink><relatesTo>1</relatesTo><i> p.bauszat@tudelft.nl</i><br /><searchLink fieldCode="AR" term="%22Thiery%2C+Jean‐Marc%22">Thiery, Jean‐Marc</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Eisemann%2C+Elmar%22">Eisemann, Elmar</searchLink><relatesTo>1</relatesTo><i> e.eisemann@tudelft.nl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. May2016, Vol. 35 Issue 2, p397-407. 11p. 5 Color Photographs, 6 Charts, 2 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+graphics+research%22">Computer graphics research</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+art%22">Computer art</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Graphic+arts%22">Graphic arts</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Voxel-based approaches are today's standard to encode volume data. Recently, directed acyclic graphs (DAGs) were successfully used for compressing sparse voxel scenes as well, but they are restricted to a single bit of (geometry) information per voxel. We present a method to compress arbitrary data, such as colors, normals, or reflectance information. By decoupling geometry and voxel data via a novel mapping scheme, we are able to apply the DAG principle to encode the topology, while using a palette-based compression for the voxel attributes, leading to a drastic memory reduction. Our method outperforms existing state-of-the-art techniques and is well-suited for GPU architectures. We achieve real-time performance on commodity hardware for colored scenes with up to 17 hierarchical levels (a 128K3voxel resolution), which are stored fully in core. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=115774598 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cgf.12841 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 397 Subjects: – SubjectFull: Computer graphics research Type: general – SubjectFull: Computer art Type: general – SubjectFull: Digital image processing Type: general – SubjectFull: Graphic arts Type: general – SubjectFull: Data visualization Type: general Titles: – TitleFull: Geometry and Attribute Compression for Voxel Scenes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dado, Bas – PersonEntity: Name: NameFull: Kol, Timothy R. – PersonEntity: Name: NameFull: Bauszat, Pablo – PersonEntity: Name: NameFull: Thiery, Jean‐Marc – PersonEntity: Name: NameFull: Eisemann, Elmar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 01677055 Numbering: – Type: volume Value: 35 – Type: issue Value: 2 Titles: – TitleFull: Computer Graphics Forum Type: main |
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