Automatic radial distortion estimation from a single image (Record no. 10225)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817170922.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161121s2012 th uu m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12174531
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Diss. no.CS-12-05
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bukhari, Faisal
245 10 - TITLE STATEMENT
Title Automatic radial distortion estimation from a single image
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (73 p.) :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. CS-12-05
500 ## - GENERAL NOTE
General note A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Asian Institute of Technology, 2012
520 ## - SUMMARY, ETC.
Summary, etc. Many computer vision algorithms rely on the assumptions of the pinhole camera model, butlens distortion with off-the-shelf cameras is usually significant enough to violate this as-sumption. Many methods for radial distortion estimation have been proposed, but they allhave limitations. Robust automatic radial distortion estimation from a single natural imagewould be extremely useful for many applications, particularly those in human-made envi-ronments containing abundant lines. For example, it could be used in place of an extensivecalibration procedure to get a mobile robot or quadrotor experiment up and running quicklyin an indoor environment.In this dissertation we propose a new and fully automatic method for radial distortion esti-mation based on the plumb-line approach.First, the method works from a single image and does not require a special calibration pattern.It is based on Fitzgibbon{u2019}s division model.Second, we devise a new algorithm for robust estimation of circular arcs.Third, we design and implement a new algorithm for robust estimation of lens distortionparameters based on the estimated circular arcs.Fourth, we perform an extensive empirical study of the method on synthetic images. Wedevelop our own data set for synthetic images under different levels of lambda and distortioncenter.Fifth, we perform a comparative statistical analysis of how different circle fitting methodscontribute to accurate distortion parameter estimation.Sixth, we provide qualitative results on a wide variety of challenging real images. Theexperiments demonstrate the method{u2019}s ability to accurately identify distortion parametersand remove distortion from images. Seventh, we perform a direct comparison of our methodwith that of Alvarez et al. (Alvarez, Gomez, & Sendra, 2009), the only researchers who haveprovided a publicly accessible implementation of their method, on synthetic images.Finally, we provide the source code based on OpenCV (Bradski, 2000) online1for re-searchers interested in evaluating or extending our procedure.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dailey, Mathew N.,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Afzulpurkar, Nitin V.,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Duboz, Raphael,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Higher Education Commission (HEC), Pakistan,
Relator term Scholarship Donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology Fellowship,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Dissertation ;
Volume/sequential designation no. CS-12-05
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B00292">http://203.159.5.9/ait-thesis/detail.php?q=B00292</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 161121
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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Koha item type 20-AIT Publication
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Koha item type 40-Archives
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Diss. no.CS-12-05 30050120389795 17/08/2026 1 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Diss. no.CS-12-05 30050120389787 17/08/2026 2 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026 50.00   AIT Diss. no.CS-12-05 30050120405922 17/08/2026 1 17/08/2026 40-Archives
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026 50.00   AIT Diss. no.CS-12-05 30050120978183 17/08/2026 3 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026 50.00   AIT Diss. no.CS-12-05 30050120978175 17/08/2026 4 17/08/2026 20-AIT Publication
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