Please use this identifier to cite or link to this item: https://zone.biblio.laurentian.ca/handle/10219/2104
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dc.contributor.authorTalebi, Reza-
dc.date.accessioned2013-10-09T15:30:11Z-
dc.date.available2013-10-09T15:30:11Z-
dc.date.issued2013-10-09-
dc.identifier.urihttps://zone.biblio.laurentian.ca/dspace/handle/10219/2104-
dc.description.abstractThree-dimensional reconstruction of small objects has been one of the most challenging problems over the last decade. Computer graphics researchers and photography professionals have been working on improving 3D reconstruction algorithms to fit the high demands of various real life applications. In this thesis, we implemented a 3D scanner system based on fringe projection method. Two different methods have been implemented and used as the unwrapping solution in fringe projection method. A parameterization tool has been created in order to generate different fringe patterns for distinctive needs in the fringe projection method. Considering our first practical implementation (based on phase shifting and multi wavelength techniques) the number of pictures used in phase shifting method has been decreased and the effects of reducing the fringe patterns on the level of precision of the 3D model have been investigated. Optical arrangement and calibration of the system (fringe projection method) have been studied, and numerous suggestions have been proposed to improve the precision of the system. Also, an evaluation method has been implemented based on calibration techniques. The error rate on both surface and height of the 3D model compare with the object has been calculated.en_CA
dc.language.isoenen_CA
dc.publisherLaurentian University of Sudburyen_CA
dc.subject3D reconstructionen_CA
dc.subjectDigital Fringe Projectionen_CA
dc.subjectPhase Unwrapping,en_CA
dc.subjectPhase Shifting.en_CA
dc.titleThree dimensional reconstruction of objects based on digital fringe projectionen_CA
dc.typeThesisen_CA
dc.description.degreeMaster of Science (M.Sc.) in Computational Sciencesen_CA
dc.publisher.grantorLaurentian University of Sudburyen_CA
Appears in Collections:Computational Sciences - Master's theses
Master's Theses

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