PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Homography of central points for optical distortion compensation

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Fifth Symposjum on Image Processing Technology (TPO 2006) ; (5 ; 21-23.11.2006 ; Serock, Poland)
Języki publikacji
EN
Abstrakty
EN
The paper presents a novel radial lens distortion modelling method for vision systems. It is based on single images of chessboard planar pattern, in which calibration points (corners of chessboard squares) are localised. The points, which are situated near the image centre, where the distortion is negligible, are used to determine undistorted grid of calibration points, by parameters of radial model by the linear least square method. Having the distortion model, the dense compensation is performed with support of bilinear interpolation and a sparse compensation by Newton iterative scheme providing subpixel accuracy.
Twórcy
autor
Bibliografia
  • 1. D.C. Brown, "Decentering distortion of lenses", Photogramm. Eng. 32, 444-462 (1966).
  • 2. F. Devernay, and O. Faugeras, "Straight lines have to be straight", Mach. Vision. Appl. 13, 14-24 (2001).
  • 3. R.Y. Tsai, "A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses", IEEE Trans. Robot. Autom. 3, 323-244 (1987).
  • 4. Z. Zhang, "Flexible camera calibration by viewing a plane from unknown orientation", Proc. IEEE Int. Conf. on Computer Vision, 666-673 (1999).
  • 5. H.S. Sawhney and R. Kumar, "True multi-image alignment and its application to mosaicing and lens distortion correction", IEEE Trans. Pattern. Anal. 14, 235-243 (1999).
  • 6. G.P. Stein, "Lens distortion calibration using point correspondence", Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 602-608 (1997).
  • 7. J. Heikkila, "Geometric camera calibration using circular control points", IEEE Trans. Pattern. Anal. 22, 1066-1077 (2000).
  • 8. Ch. Braüer-Burchardt and K. Voss, "Automatic lens distortion calibration using single views", pandora.inf.uni-jena.de/papers/calibration.ps.
  • 9. D.C. Brown, "Close range camera calibration", Photogramm. Eng. 37, 855-866 (1971).
  • 10. S.B. Kang, "Radial distortion snakes", IEICE Trans. Inf. Syst. E84-D, 1603-1611 (2001).
  • 11. H. Farid and A.C. Popescu, "Blind removal of lens distortion", J. Opt. Soc. Am. A18, 2072-2078 (2001).
  • 12. R. Klette, K. Schluus, and A. Koschan, Computer Vision. Three-Dimensional Data from Images, Springer-Verlag, Singapore, 1996.
  • 13. Y. Ma, S. Soatto, and J. Kosecka, "An invitation to 3D vision. From images to geometric models", in Interdisciplinary Applied Mathematics, Vol. 26, Springer-Verlag, New York, 2004.
  • 14. P. David, D. DeMenthon, R. Duraiswami, and H. Samet, "SoftPOSIT: Simultaneous pose and correspondence determination", Int. J. Comput. Vision 59, 259-284 (2004).
  • 15. J. Canny, "A computational approach to edge detection", IEEE Trans. Pattern. Anal. 8, 679-698 (1986).
  • 16. A. Nowakowski and W. Skarbek, "Fast computation of thresholding hysteresis for edge detection", Proc. SPIE 6159, 838-849 (2006).
  • 17. A. Nowakowski and M. Tomaszewski, "Chessboard pattern reconstruction for camera calibration system", Proc. Networked Audiovisual Media Technologies, Special VISNET Session Collocated to the National Conf. on Radiocommunications and Broadcasting KKRRiT 2005, 7-10 (2005).
  • 18. I.T. Jolliffe, Principal Component Analysis, Springer-Verlag, New York, 2002.
  • 19. G.H. Golub and Ch.F. van Loan, Matrix Computations, The Johns Hopkins University Press, Baltimore and London, 1989.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA9-0012-0012
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.