File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A Kalman filter approach to direct depth estimation incorporating surface structure

TitleA Kalman filter approach to direct depth estimation incorporating surface structure
Authors
KeywordsDepth-from-motion
Gradient method
Image sequence
Kaiman filter
Surface structure
Issue Date1999
PublisherI E E E. The Journal's web site is located at http://www.computer.org/tpami
Citation
Ieee Transactions On Pattern Analysis And Machine Intelligence, 1999, v. 21 n. 6, p. 570-575 How to Cite?
AbstractThe problem of depth-from-motion using a monocular image sequence is considered. A pixel-based model is developed for direct depth estimation within a Kaiman filtering framework. A method is proposed for incorporating local surface structure into the Kaiman filter. Experimental results are provided to illustrate the effect of structural information on depth estimation. ©1999 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/42792
ISSN
2015 Impact Factor: 6.077
2015 SCImago Journal Rankings: 7.653
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHung, YSen_HK
dc.contributor.authorHo, HTen_HK
dc.date.accessioned2007-03-23T04:32:18Z-
dc.date.available2007-03-23T04:32:18Z-
dc.date.issued1999en_HK
dc.identifier.citationIeee Transactions On Pattern Analysis And Machine Intelligence, 1999, v. 21 n. 6, p. 570-575en_HK
dc.identifier.issn0162-8828en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42792-
dc.description.abstractThe problem of depth-from-motion using a monocular image sequence is considered. A pixel-based model is developed for direct depth estimation within a Kaiman filtering framework. A method is proposed for incorporating local surface structure into the Kaiman filter. Experimental results are provided to illustrate the effect of structural information on depth estimation. ©1999 IEEE.en_HK
dc.format.extent428640 bytes-
dc.format.extent100664 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://www.computer.org/tpamien_HK
dc.relation.ispartofIEEE Transactions on Pattern Analysis and Machine Intelligenceen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectDepth-from-motionen_HK
dc.subjectGradient methoden_HK
dc.subjectImage sequenceen_HK
dc.subjectKaiman filteren_HK
dc.subjectSurface structureen_HK
dc.titleA Kalman filter approach to direct depth estimation incorporating surface structureen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0162-8828&volume=21&issue=6&spage=570&epage=575&date=1999&atitle=A+Kalman+filter+approach+to+direct+depth+estimation+incorporating+surface+structureen_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/34.771330en_HK
dc.identifier.scopuseid_2-s2.0-0032637223en_HK
dc.identifier.hkuros44376-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032637223&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume21en_HK
dc.identifier.issue6en_HK
dc.identifier.spage570en_HK
dc.identifier.epage575en_HK
dc.identifier.isiWOS:000080819100009-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridHo, HT=14067455800en_HK
dc.identifier.citeulike10564676-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats