File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Discrete element textures

TitleDiscrete element textures
Authors
KeywordsAnalysis
Data driven
Discrete element
Editing
Sampling
Synthesis
Texture
Issue Date2011
PublisherAssociation for Computing Machinery, Inc
Citation
ACM SIGGRAPH 2011, Vancouver, Canada, 7-11 August 2011. In ACM Transactions on Graphics, 2011, v. 30 n. 4, article no. 62, p. 62:1-62:10 How to Cite?
AbstractA variety of phenomena can be characterized by repetitive small scale elements within a large scale domain. Examples include a stack of fresh produce, a plate of spaghetti, or a mosaic pattern. Although certain results can be produced via manual placement or procedural/physical simulation, these methods can be labor intensive, difficult to control, or limited to specific phenomena. We present discrete element textures, a data-driven method for synthesizing repetitive elements according to a small input exemplar and a large output domain. Our method preserves both individual element properties and their aggregate distributions. It is also general and applicable to a variety of phenomena, including different dimensionalities, different element properties and distributions, and different effects including both artistic and physically realistic ones. We represent each element by one or multiple samples whose positions encode relevant element attributes including position, size, shape, and orientation. We propose a sample-based neighborhood similarity metric and an energy optimization solver to synthesize desired outputs that observe not only input exemplars and output domains but also optional constraints such as physics, orientation fields, and boundary conditions. As a further benefit, our method can also be applied for editing existing element distributions. © 2011 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/141808
ISBN
ISSN
2015 Impact Factor: 4.218
2015 SCImago Journal Rankings: 2.552
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMa, Cen_HK
dc.contributor.authorWei, LYen_HK
dc.contributor.authorTong, Xen_HK
dc.date.accessioned2011-09-27T03:02:16Z-
dc.date.available2011-09-27T03:02:16Z-
dc.date.issued2011en_HK
dc.identifier.citationACM SIGGRAPH 2011, Vancouver, Canada, 7-11 August 2011. In ACM Transactions on Graphics, 2011, v. 30 n. 4, article no. 62, p. 62:1-62:10en_HK
dc.identifier.isbn9781450309431-
dc.identifier.issn0730-0301en_HK
dc.identifier.urihttp://hdl.handle.net/10722/141808-
dc.description.abstractA variety of phenomena can be characterized by repetitive small scale elements within a large scale domain. Examples include a stack of fresh produce, a plate of spaghetti, or a mosaic pattern. Although certain results can be produced via manual placement or procedural/physical simulation, these methods can be labor intensive, difficult to control, or limited to specific phenomena. We present discrete element textures, a data-driven method for synthesizing repetitive elements according to a small input exemplar and a large output domain. Our method preserves both individual element properties and their aggregate distributions. It is also general and applicable to a variety of phenomena, including different dimensionalities, different element properties and distributions, and different effects including both artistic and physically realistic ones. We represent each element by one or multiple samples whose positions encode relevant element attributes including position, size, shape, and orientation. We propose a sample-based neighborhood similarity metric and an energy optimization solver to synthesize desired outputs that observe not only input exemplars and output domains but also optional constraints such as physics, orientation fields, and boundary conditions. As a further benefit, our method can also be applied for editing existing element distributions. © 2011 ACM.en_HK
dc.languageengen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.relation.ispartofACM Transactions on Graphicsen_HK
dc.subjectAnalysisen_HK
dc.subjectData drivenen_HK
dc.subjectDiscrete elementen_HK
dc.subjectEditingen_HK
dc.subjectSamplingen_HK
dc.subjectSynthesisen_HK
dc.subjectTextureen_HK
dc.titleDiscrete element texturesen_HK
dc.typeConference_Paperen_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.doi10.1145/1964921.1964957en_HK
dc.identifier.scopuseid_2-s2.0-80051894116en_HK
dc.identifier.hkuros206834-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80051894116&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume30en_HK
dc.identifier.issue4en_HK
dc.identifier.eissn1557-7368-
dc.identifier.isiWOS:000297216400036-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridMa, C=35771204600en_HK
dc.identifier.scopusauthoridWei, LY=14523963300en_HK
dc.identifier.scopusauthoridTong, X=35885986300en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats