File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A fast and noise-tolerant method for positioning centers of spiraling and circulating vector fields

TitleA fast and noise-tolerant method for positioning centers of spiraling and circulating vector fields
Authors
Issue Date2007
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2007, v. 4844 LNCS PART 2, p. 764-773 How to Cite?
AbstractIdentification of centers of circulating and spiraling vector fields are important in many applications. Tropical cyclone tracking, rotating object identification, analysis of motion video and movement of fluids are but some examples. In this paper, we introduce a fast and noise tolerant method for finding centers of circulating and spiraling vector field pattern. The method can be implemented using integer operations only. It is 1.4 to 4.5 times faster than traditional methods, and the speedup can be further boosted up to 96.6 by the incorporation of search algorithms. We show the soundness of the algorithm using experiments on synthetic vector fields and demonstrate its practicality using application examples in the field of multimedia and weather forecasting. © Springer-Verlag Berlin Heidelberg 2007.
Persistent Identifierhttp://hdl.handle.net/10722/93256
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorWong, KYen_HK
dc.contributor.authorYip, CLen_HK
dc.date.accessioned2010-09-25T14:55:36Z-
dc.date.available2010-09-25T14:55:36Z-
dc.date.issued2007en_HK
dc.identifier.citationLecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2007, v. 4844 LNCS PART 2, p. 764-773en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/93256-
dc.description.abstractIdentification of centers of circulating and spiraling vector fields are important in many applications. Tropical cyclone tracking, rotating object identification, analysis of motion video and movement of fluids are but some examples. In this paper, we introduce a fast and noise tolerant method for finding centers of circulating and spiraling vector field pattern. The method can be implemented using integer operations only. It is 1.4 to 4.5 times faster than traditional methods, and the speedup can be further boosted up to 96.6 by the incorporation of search algorithms. We show the soundness of the algorithm using experiments on synthetic vector fields and demonstrate its practicality using application examples in the field of multimedia and weather forecasting. © Springer-Verlag Berlin Heidelberg 2007.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.titleA fast and noise-tolerant method for positioning centers of spiraling and circulating vector fieldsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWong, KY:kywong@cs.hku.hken_HK
dc.identifier.emailYip, CL:clyip@cs.hku.hken_HK
dc.identifier.authorityWong, KY=rp00187en_HK
dc.identifier.authorityYip, CL=rp00205en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-38149039490en_HK
dc.identifier.hkuros136109en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-38149039490&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume4844 LNCSen_HK
dc.identifier.issuePART 2en_HK
dc.identifier.spage764en_HK
dc.identifier.epage773en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridWong, KY=7404759205en_HK
dc.identifier.scopusauthoridYip, CL=7101665547en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats