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Memorial University - Electronic Theses and Dissertations 4
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Document Description
TitleHighly accurate vision based surface reconstruction system
AuthorRahman, Taufiqur, 1984-
DescriptionThesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science
Date2009.
Paginationxiv, 174 leaves : ill. (chiefly col.)
SubjectCameras--Calibration; Image processing--Digital techniques; Photogrammetry--Digital techniques;
DegreeM.Eng.
Degree GrantorMemorial University of Newfoundland. Faculty of Engineering and Applied Science
DisciplineEngineering and Applied Science
LanguageEng
NotesIncludes bibliographical references (leaves 161-168)
AbstractPhotogrammetry has come a long way since cameras were employed for aerial mapping tasks. In this digital era, photogrammetry evolved to be used in close range measurements for industrial purposes, thanks to inexpensive and off-the-shelf digital cameras and superior computing power. But how accurately close range photogrammetry can execute a measurement is a question still unexplored by the researchers. This thesis attempts this question to find a vision based measurement solution that employs conventional sensing means yet produces highly accurate results. In a way, the proverbial "pushing the limit" was the main focus of this work. -- It was found that geometrical calibration of digital cameras is the major task in developing a vision based measurement system. This work proposes a novel calibration technique with an improved approach towards implementation. Experimental results and computer simulation confirmed the accuracy produced by the proposed camera calibration technique. A laser projector emitting a linear pattern was used as an additional sensing element in complement to the camera. Finally a spherical surface was digitized in order to assess the performance of the overall system.
TypeText
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifiera3243722
RightsThe author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
CollectionElectronic Theses and Dissertations
Scanning StatusCompleted
PDF File(17.36 MB) -- http://collections.mun.ca/PDFs/theses/Rahman_Taufiqur.pdf
CONTENTdm file name47397.cpd