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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(5): 385-390 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.191

Projector Calibration Using Passive Stereo and Triangulation

Yousef B. Mahdy, Khaled F. Hussain, and Mostafa A. Abdel-Majid
Abstract—In the past, 3D shape reconstruction process was based on passive stereo which do not require direct control of any illumination source, instead relying entirely on light. Nowadays, 3D shape reconstruction is based on active stereo which replace one camera with a projector. The projector plays an important part in solving the correspondence problem. It projects coded patterns on the scanned object. By capturing the deformed pattern using cameras, the correspondences between image pixels and projector (columns-rows) can be found easily. To do that, the projector must be calibrated. In this work, the problem of projector calibration is solved by passive stereo and triangulation. Our system consists of two cameras, projector, and planner board. A checkerboard pattern is projected on the board and then captured by the two cameras. Using triangulation, the corresponding 3D points of the projected pattern is computed. In this way, having the 2D projected points in the projector frame and its 3D correspondences (calculated using triangulation) the system can be calibrated using a standard camera calibration method. A data projector has been calibrated by this method and accurate results have been achieved.

Index Terms—Correspondences, projector calibration, 3D reconstruction, triangulation.

The authors are with Computer Science Department, Faculty of Computers and Information, Assiut University (e-mail: mahdy@aun.edu.eg, khaled.cs.ucf.edu, newsoft_505@yahoo.com).


Cite: Yousef B. Mahdy, Khaled F. Hussain, and Mostafa A. Abdel-Majid, "Projector Calibration Using Passive Stereo and Triangulation," International Journal of Future Computer and Communication vol. 2, no. 5, pp. 385-390, 2013.

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