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dc.contributor.advisor de Figueiredo, Rui J. P.
dc.creatorGiritlioglu, Bogac
dc.date.accessioned 2009-06-04T00:46:37Z
dc.date.available 2009-06-04T00:46:37Z
dc.date.issued 1991
dc.identifier.urihttps://hdl.handle.net/1911/13525
dc.description.abstract This 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.extent 165 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectElectronics
Electrical engineering
dc.title Machine recognition of occluded two-dimensional objects in clutter
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Electrical and Computer Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.citation Giritlioglu, Bogac. "Machine recognition of occluded two-dimensional objects in clutter." (1991) Master’s Thesis, Rice University. https://hdl.handle.net/1911/13525.


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