Robust object detection in complex backgrounds using ICA compression

dc.contributor.authorVicente, M. A.
dc.contributor.authorFernández, C.
dc.contributor.authorReinoso, O.
dc.contributor.authorPérez, C.
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-01-25T11:46:58Z
dc.date.available2013-01-25T11:46:58Z
dc.date.issued2004
dc.description.abstractThis paper describes a method for recognizing real three-dimensional objects in non-controlled backgrounds using independent component analysis to eliminate redundant image information present in each object image. The proposed method is a two-step process that allows a coarse color-based detection and an exact localization using shape information. The paper describes an efficient implementation, making this approach suitable for realtime applications.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationWSCG '2004: Posters: The 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2.-6. February 2004, Plzen, p. 185-188.en
dc.identifier.isbn80-903100-6-0
dc.identifier.urihttp://wscg.zcu.cz/wscg2004/Papers_2004_Poster/N13.pdf
dc.identifier.urihttp://hdl.handle.net/11025/971
dc.language.isoenen
dc.publisherUNION Agencyen
dc.relation.ispartofseriesWSCG '2004: Postersen
dc.rights© UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectrozpoznání objektůcs
dc.subject3D objektycs
dc.subjectbarevné histogramycs
dc.subjectlaterální histogramycs
dc.subjectanalýza nezávislých komponentcs
dc.subjectanalýza hlavních komponentcs
dc.subject.translatedobject recognitionen
dc.subject.translated3D objectsen
dc.subject.translatedcolor histogramsen
dc.subject.translatedlateral histogramsen
dc.subject.translatedindependent component analysisen
dc.subject.translatedprincipal component analysisen
dc.titleRobust object detection in complex backgrounds using ICA compressionen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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