Memorial University DAI: Highly accurate vision based surface reconstruction system

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Document Description

Title	Highly accurate vision based surface reconstruction system
Author	Rahman, Taufiqur, 1984-
Description	Thesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science
Date	2009.
Pagination	xiv, 174 leaves : ill. (chiefly col.)
Subject	Cameras--Calibration; Image processing--Digital techniques; Photogrammetry--Digital techniques;
Degree	M.Eng.
Degree Grantor	Memorial University of Newfoundland. Faculty of Engineering and Applied Science
Discipline	Engineering and Applied Science
Language	Eng
Notes	Includes bibliographical references (leaves 161-168)
Abstract	Photogrammetry 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.
Type	Text
Resource Type	Electronic thesis or dissertation
Format	Image/jpeg; Application/pdf
Source	Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifier	a3243722
Rights	The 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.
Collection	Electronic Theses and Dissertations
Scanning Status	Completed
PDF File	(17.36 MB) -- http://collections.mun.ca/PDFs/theses/Rahman_Taufiqur.pdf
CONTENTdm file name	47397.cpd