Sparse PDF Volumes for Consistent Multi-Resolution Volume Rendering

Handle URI:
http://hdl.handle.net/10754/556154
Title:
Sparse PDF Volumes for Consistent Multi-Resolution Volume Rendering
Authors:
Sicat, Ronell Barrera ( 0000-0001-7037-1614 ) ; Kruger, Jens; Moller, Torsten; Hadwiger, Markus ( 0000-0003-1239-4871 )
Abstract:
This paper presents a new multi-resolution volume representation called sparse pdf volumes, which enables consistent multi-resolution volume rendering based on probability density functions (pdfs) of voxel neighborhoods. These pdfs are defined in the 4D domain jointly comprising the 3D volume and its 1D intensity range. Crucially, the computation of sparse pdf volumes exploits data coherence in 4D, resulting in a sparse representation with surprisingly low storage requirements. At run time, we dynamically apply transfer functions to the pdfs using simple and fast convolutions. Whereas standard low-pass filtering and down-sampling incur visible differences between resolution levels, the use of pdfs facilitates consistent results independent of the resolution level used. We describe the efficient out-of-core computation of large-scale sparse pdf volumes, using a novel iterative simplification procedure of a mixture of 4D Gaussians. Finally, our data structure is optimized to facilitate interactive multi-resolution volume rendering on GPUs.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Sparse PDF Volumes for Consistent Multi-Resolution Volume Rendering 2014, 20 (12):2417 IEEE Transactions on Visualization and Computer Graphics
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Visualization and Computer Graphics
Issue Date:
31-Dec-2014
DOI:
10.1109/TVCG.2014.2346324
Type:
Article
ISSN:
1077-2626
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6876002; http://faculty.kaust.edu.sa/sites/markushadwiger/Documents/sparse_pdf_volumes_scivis2014.pdf; http://faculty.kaust.edu.sa/sites/markushadwiger/Documents/sparse_pdf_volumes_scivis2014.mp4
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSicat, Ronell Barreraen
dc.contributor.authorKruger, Jensen
dc.contributor.authorMoller, Torstenen
dc.contributor.authorHadwiger, Markusen
dc.date.accessioned2015-06-02T11:43:19Zen
dc.date.available2015-06-02T11:43:19Zen
dc.date.issued2014-12-31en
dc.identifier.citationSparse PDF Volumes for Consistent Multi-Resolution Volume Rendering 2014, 20 (12):2417 IEEE Transactions on Visualization and Computer Graphicsen
dc.identifier.issn1077-2626en
dc.identifier.doi10.1109/TVCG.2014.2346324en
dc.identifier.urihttp://hdl.handle.net/10754/556154en
dc.description.abstractThis paper presents a new multi-resolution volume representation called sparse pdf volumes, which enables consistent multi-resolution volume rendering based on probability density functions (pdfs) of voxel neighborhoods. These pdfs are defined in the 4D domain jointly comprising the 3D volume and its 1D intensity range. Crucially, the computation of sparse pdf volumes exploits data coherence in 4D, resulting in a sparse representation with surprisingly low storage requirements. At run time, we dynamically apply transfer functions to the pdfs using simple and fast convolutions. Whereas standard low-pass filtering and down-sampling incur visible differences between resolution levels, the use of pdfs facilitates consistent results independent of the resolution level used. We describe the efficient out-of-core computation of large-scale sparse pdf volumes, using a novel iterative simplification procedure of a mixture of 4D Gaussians. Finally, our data structure is optimized to facilitate interactive multi-resolution volume rendering on GPUs.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6876002en
dc.relation.urlhttp://faculty.kaust.edu.sa/sites/markushadwiger/Documents/sparse_pdf_volumes_scivis2014.pdfen
dc.relation.urlhttp://faculty.kaust.edu.sa/sites/markushadwiger/Documents/sparse_pdf_volumes_scivis2014.mp4en
dc.rights(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectMulti-resolution representationsen
dc.subjectlarge-scale volume renderingen
dc.subjectsparse approximationen
dc.subjectpursuit algorithmsen
dc.titleSparse PDF Volumes for Consistent Multi-Resolution Volume Renderingen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Transactions on Visualization and Computer Graphicsen
dc.eprint.versionPost-printen
dc.contributor.institutionUniversity of Duisburg-Essenen
dc.contributor.institutionUniversity of Viennaen
kaust.authorHadwiger, Markusen
kaust.authorSicat, Ronell Barreraen
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