Machine recognition of occluded two-dimensional objects in clutter

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dc.contributor.advisorde Figueiredo, Rui J. P.
dc.creatorGiritlioglu, Bogac
dc.date.accessioned2009-06-04T00:46:37Z
dc.date.available2009-06-04T00:46:37Z
dc.date.issued1991
dc.description.abstractThis thesis presents a tree search based approach for recognizing occluded 2-D objects in clutter. The planar shapes are represented in terms of their contour line segments. Each is allowed three degrees of freedom (x, y translation and rotation) and a variable scaling factor. It is shown that incorrect pairings of line segments may be eliminated efficiently by using ordering of line segments, local, and global constraints. It is also shown by simulation and by mathematical bounds that the number of hypotheses consistent with these constraints is small.
dc.format.extent165 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoThesis E.E. 1991 Giritlioglu
dc.identifier.citationGiritlioglu, Bogac. "Machine recognition of occluded two-dimensional objects in clutter." (1991) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/13525">https://hdl.handle.net/1911/13525</a>.
dc.identifier.urihttps://hdl.handle.net/1911/13525
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleMachine recognition of occluded two-dimensional objects in clutter
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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