Publication Date
2014
Document Type
Thesis
Committee Members
Kuldip Rattan (Advisor), Juan Vasquez (Committee Member), Thomas Wischgoll (Committee Member)
Degree Name
Master of Science in Computer Engineering (MSCE)
Abstract
Extensive use of visible electro-optical (visEO) cameras for machine vision techniques shows that most camera systems produce distorted imagery. This thesis investigates and compares several of the most common techniques for correcting the distortions based on a pinhole camera model. The methods being examined include a common chessboard pattern based on (Sturm 1999), (Z. Zhang 1999), and (Z. Zhang 2000), as well as two "circleboard" patterns based on (Heikkila 2000). Additionally, camera models from the visual structure from motion (VSFM) software (Wu n.d.) are used. By comparing reprojection error from similar data sets, it can be shown that the asymmetric circleboard performs the best. Finally, a software tool is presented to assist researchers with the procedure for calibration using a well-known fiducial.
Page Count
94
Department or Program
Department of Computer Science and Engineering
Year Degree Awarded
2014
Copyright
Copyright 2014, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.
