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Article: Anisotropic blue noise sampling

TitleAnisotropic blue noise sampling
Authors
Keywordsanisotropy
blue noise sampling
dart throwing
relaxation
rendering
spectrum analysis
stippling
texturing
Issue Date2010
PublisherAssociation for Computing Machinery, Inc
Citation
Acm Transactions On Graphics, 2010, v. 29 n. 6 How to Cite?
AbstractBlue noise sampling is widely employed for a variety of imaging, geometry, and rendering applications. However, existing research so far has focused mainly on isotropic sampling, and challenges remain for the anisotropic scenario both in sample generation and quality verification. We present anisotropic blue noise sampling to address these issues. On the generation side, we extend dart throwing and relaxation, the two classical methods for isotropic blue noise sampling, for the anisotropic setting, while ensuring both high-quality results and efficient computation. On the verification side, although Fourier spectrum analysis has been one of the most powerful and widely adopted tools, so far it has been applied only to uniform isotropic samples. We introduce approaches based on warping and sphere sampling that allow us to extend Fourier spectrum analysis for adaptive and/or anisotropic samples; thus, we can detect problems in alternative anisotropic sampling techniques that were not yet found via prior verification. We present several applications of our technique, including stippling, visualization, surface texturing, and object distribution. © 2010 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/141810
ISSN
2015 Impact Factor: 4.218
2015 SCImago Journal Rankings: 2.552
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong RGC619008
619509
Funding Information:

We would like to thank Eugene Zhang for sharing his code on surface tensor field design, Yingge Qu + other authors of [Pang et al. 2008] for providing the van Gogh image + their structure-aware half-toning results, and the anonymous reviewers for their comments and suggestions. Hongwei Li and Pedro V. Sander were partly supported by Hong Kong RGC grants 619008 and 619509.

References

 

DC FieldValueLanguage
dc.contributor.authorLi, Hen_HK
dc.contributor.authorWei, LYen_HK
dc.contributor.authorSander, PVen_HK
dc.contributor.authorFu, CWen_HK
dc.date.accessioned2011-09-27T03:02:17Z-
dc.date.available2011-09-27T03:02:17Z-
dc.date.issued2010en_HK
dc.identifier.citationAcm Transactions On Graphics, 2010, v. 29 n. 6en_HK
dc.identifier.issn0730-0301en_HK
dc.identifier.urihttp://hdl.handle.net/10722/141810-
dc.description.abstractBlue noise sampling is widely employed for a variety of imaging, geometry, and rendering applications. However, existing research so far has focused mainly on isotropic sampling, and challenges remain for the anisotropic scenario both in sample generation and quality verification. We present anisotropic blue noise sampling to address these issues. On the generation side, we extend dart throwing and relaxation, the two classical methods for isotropic blue noise sampling, for the anisotropic setting, while ensuring both high-quality results and efficient computation. On the verification side, although Fourier spectrum analysis has been one of the most powerful and widely adopted tools, so far it has been applied only to uniform isotropic samples. We introduce approaches based on warping and sphere sampling that allow us to extend Fourier spectrum analysis for adaptive and/or anisotropic samples; thus, we can detect problems in alternative anisotropic sampling techniques that were not yet found via prior verification. We present several applications of our technique, including stippling, visualization, surface texturing, and object distribution. © 2010 ACM.en_HK
dc.languageengen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.relation.ispartofACM Transactions on Graphicsen_HK
dc.subjectanisotropyen_HK
dc.subjectblue noise samplingen_HK
dc.subjectdart throwingen_HK
dc.subjectrelaxationen_HK
dc.subjectrenderingen_HK
dc.subjectspectrum analysisen_HK
dc.subjectstipplingen_HK
dc.subjecttexturingen_HK
dc.titleAnisotropic blue noise samplingen_HK
dc.typeArticleen_HK
dc.identifier.emailWei, LY:lywei@cs.hku.hken_HK
dc.identifier.authorityWei, LY=rp01528en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1145/1866158.1866189en_HK
dc.identifier.scopuseid_2-s2.0-78650873489en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650873489&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume29en_HK
dc.identifier.issue6en_HK
dc.identifier.eissn1557-7368-
dc.identifier.isiWOS:000284943000031-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLi, H=36816100400en_HK
dc.identifier.scopusauthoridWei, LY=14523963300en_HK
dc.identifier.scopusauthoridSander, PV=18438294400en_HK
dc.identifier.scopusauthoridFu, CW=7402802915en_HK

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