Uncertainty reasoning in hierachical visual evidence space

Simple item page
dc.contributor.authorQian, Jianzhongen
dc.contributor.committeechairEhrich, Roger W.en
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-03-14T21:15:47Zen
dc.date.adate2007-07-11en
dc.date.available2014-03-14T21:15:47Zen
dc.date.issued1990-04-01en
dc.date.rdate2007-07-11en
dc.date.sdate2007-07-11en
dc.description.abstractOne of the major problems in computer vision involves dealing with uncertain information. Occlusion, dissimilar views, insufficient illumination, insufficient resolution, and degradation give rise to imprecise data. At the same time, incomplete or local knowledge of the scene gives rise to imprecise interpretation rules. Uncertainty arises at different processing levels of computer vision either because of the imprecise data or because of the imprecise interpretation rules. It is natural to build computer vision systems that incorporate uncertainty reasoning. The Dempster-Shafer (D-S) theory of evidence is appealing for coping with uncertainty hierarchically. However, very little work has been done to apply D-S theory to practical vision systems because some important problems are yet to be resolved.en
dc.description.degreePh. D.en
dc.format.extentxi, 264 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-07112007-092846en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07112007-092846/en
dc.identifier.urihttp://hdl.handle.net/10919/38756en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1990.Q536.pdfen
dc.relation.isformatofOCLC# 22250192en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1990.Q536en
dc.subject.lcshComputer vision -- Researchen
dc.titleUncertainty reasoning in hierachical visual evidence spaceen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
LD5655.V856_1990.Q536.pdf
Size:
75.89 MB
Format:
Adobe Portable Document Format
Download

Collections

Doctoral Dissertations