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Calibration of a camera–projector monochromatic system
Author(s) -
Portalés Cristina,
RibesGómez Emilio,
Pastor Begoña,
Gutiérrez Antonio
Publication year - 2015
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12094
Subject(s) - projector , computer science , calibration , monochromatic color , computer vision , artificial intelligence , bundle adjustment , camera resectioning , camera auto calibration , computer graphics (images) , orientation (vector space) , process (computing) , planar , pixel , object (grammar) , image (mathematics) , optics , mathematics , physics , statistics , geometry , operating system
Camera–projector systems are increasingly being used in many different applications, including object reconstruction. In recent years, a number of approaches have been proposed to calibrate such devices; in this paper a calibration method is presented which can be used with monochromatic systems. The method is based on open‐source code, makes use of planar calibration patterns, is fully automatic, easy to use and fast. Additionally, no initial information regarding the camera interior orientation is needed, and both sensors (camera and projector) are fully calibrated during the process. The method is validated by a series of tests, where root mean square errors (RMSEs) in image space are kept below 1 pixel. Finally, the applicability of the method is demonstrated by implementing two different strategies to automatically reconstruct objects.