Geometric Calibration of CCD Camera Using Planar Object
Publication: Journal of Surveying Engineering
Volume 122, Issue 3
Abstract
A method of geometric calibration of charge-coupled device (CCD) vision systems for metric measurement has been developed. The method does not require a special calibration facility or accurately surveyed three-dimensional (3D) control points. It only requires that one stereo pair of images of a planar object be acquired with the CCD camera that is to be calibrated. Using a planar wall constraint as a control, the study identified that a priori knowledge of seven parameters of interior orientation could be used to effectively model the interior geometry of known focal length CCD cameras equipped with zoom lenses. Brick walls provided an excellent calibration source of such a calibration facility, because they can provide a sufficiently large number of well-defined points throughout the stereo images at almost any focal setting. The corners of the bricks and mortar joints might be used as target points. Comparison with laboratory calibration using a 3D test field showed that the method of planar constraint was capable of providing results of comparable accuracy at 10–32 mm variable focal settings lens, and potentially even better results at larger focal settings. A root-mean square (RMS) error of better than ±0.2 pixels was achieved consistently for higher values of focal setting. Using about 40–50 stereo image points, the interior geometry of the CCD camera was effectively modeled. Increasing the number of image points increased the stability of the calibration parameters. The method has the potential to be advantageous in terms of practicality, availability and economy; time saving, and providing a large number of image points.
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References
1.
Adams, L. P.(1981). “The use of non-metric cameras in short range photogrammetry.”Photogrammetria, 36(2), 51–60.
2.
Beyer, H. A.(1990). “Line jitter and geometric calibration of CCD-cameras.”ISPRS J. of Photogrammetry and Remote Sensing, 45, 17–32.
3.
Brown, D. C. (1968). “Advanced method for the calibration of metric cameras.”Final Rep., Part 1, U.S. Army Contract: DA-44-009-AMC-1457, (X), Engrg. Topographic Lab., Fort Belvoir, Va., Florida.
4.
Brown, D. C.(1971). “Close-range camera calibration.”Photogrammetric Engrg., 37(8), 855–866.
5.
Curry, S., and Baumrind, S.(1986). “Calibration of an array camera.”Photogrammetric Engrg. and Remote Sensing, 52(5), 627–636.
6.
El-Hakim, S. F. (1986). “Real-time image metrology using CCD cameras.”Photogrammetric Engrg. and Remote Sensing, Vol. 52, 1757–1766.
7.
El-Hakim, S. F., Burner, A. W., and Real, R. R. (1989). “Video technology and real-time photogrammetry.”Non-topographic photogrammetry, 2nd Ed., Am. Soc. of Photogrammetry and Remote Sensing, Falls Church, Va., 279–304.
8.
Faig, W. (1972). “Design, construction and geodetic coordination of a close-range test field.”Civ. Engrg. Studies, Photogrammetric Ser. No. 32, Univ. of Illinois, Urbana, Ill.
9.
Faig, W.(1975). “Calibration of close-range photogrammetric system: mathematical formulation.”Photogrammetric Engrg. and Remote Sensing, 41(12), 1479–1486.
10.
Faig, W., and Owolabi, K. (1988). “The effect of image points density on photo-variant and photo-invariant bundle adjustment.”ISPRS, Vol. 27, Part B5.
11.
Fraser, C. S., and Veress, S. A.(1980). “Self-calibration of a fixed-frame multiple-camera system.”Photogrammetric Engrg. and Remote Sensing, 46(11), 1439–1445.
12.
Fryer, J. G. (1989). “Camera calibration in non-topographic photogrammetry.”Non-topographic photogrammetry, 2nd Ed., Am. Soc. for Photogrammetry and Remote Sensing, Falls Church, Va., 59–70.
13.
Ke, Y. (1995). “3-D surface mapping with computer vision,” PhD dissertation, Univ. of Illinois at Urbana-Champaign, Urbana, Ill.
14.
Kenefick, J. F., Gyer, M. S., and Harp, B. F.(1972). “Analytical self-calibration.”Photogrammetric Engrg., 38(11), 1117–1126.
15.
Merchant, D. C., and Tudhope, R. L.(1989). “Aerial photo system calibration over flat terrain.”Photogrammetry and Remote Sensing, 55(12), 1755–1763.
16.
Obaidat, M. T. M. (1994). “Video metrology for documentation of engineering construction,” PhD dissertation, Univ. of Illinois at Urbana-Champaign, Urbana, Ill.
17.
Wiley, A. G. (1991). “Metric aspect of zoom vision,” PhD dissertation, Univ. of Illinois at Urbana-Champaign, Urbana, Ill.
18.
Wiley, A. G., and Wong, K. W. (1992). “Geometric calibration of zoom lenses for computer vision metrology.”Proc., 29th Int. Congr. of Photogrammetry and Remote Sensing, Commission V, Int. Archives of Photogrammetry and Remote Sensing, Int. Soc. of Photogrammetry and Remote Sensing (ISPRS), Washington, D.C., 587–593.
19.
Wolf, P. R., and Loomer, S. A. (1975). “Calibration of non-metric cameras.”Proc., ASP Symp. on Close-Range Photogrammetry Sys., Urbana, Ill., 373–393.
20.
Wong, K. W. (1980). “Basic mathematics of photogrammetry.”Manual of photogrammetry, 4th Ed., Am. Soc. of Photogrammetry, Falls Church, Va., 37–102.
21.
Wong, K. W., and Obaidat, M. T. (1992). “DRSTEREO—a stereo measurement system for the PC.”Proc., Tech. Papers of the ASPRS/ACSM/RT 92 Meeting, Am. Soc. for Photogrammetry and Remote Sensing (ASPRS) and Am. Congr. on Surv. and Mapping (ACSM), Bethesda, Md., 228–234.
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Copyright © 1996 American Society of Civil Engineers.
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Published online: Aug 1, 1996
Published in print: Aug 1996
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