AUTOMATIC CALIBRATION METHOD FOR STEREOSCOPIC SYSTEM

V. V. Korotaev, A. V. Krasnyaschikh, S. N. Yaryshev, V. N. Hoang


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Abstract

The paper deals with a new method of automatic calibration for stereoscopic system using test object. The idea of the method is to register stereoscopic image of specially selected reference object in the form of a chessboard with an extra field – a frame around chessboard – by means of two cameras. An algorithm implementing this method consists of seven stages: registration of set of images for a test object; image threshold filtering; recognition of test object by size and shape; background removal; position determination of four edge points; calibrating of the first and the second cameras; calibrating of stereoscopic system on the whole. The calibration process for the first and the second cameras and the system is performed by using a program developed by Jean-Yves Bouguet. Mathematical and physical modeling is done by means of two measuring cameras and MATLAB software package. Comparative error study for determination of the coordinates of test points in manual and automatic mode is carried out by modeling, as well as calibration error depending on the number of images obtained by stereo pair.


Keywords: automatic calibration, stereoscopic system, test object, chessboard, algorithm

References
1.     Volkovich A.N., Zhuk D.V., Tuzikov A.V. Vosstanovlenie trekhmernykh modelei ob"ektov po stereoizobrazheniyam s uchetom rasparallelivaniya [Three-dimensional model reconstructing by means of stereo images considering its multisequencing]. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2008, no. 13 (58), pp. 3–10.
2.     Malik A.S., Choi T.-S., Nisar H. Depth Map and 3D Imaging Applications: Algorithms and Technologies. IGI Global, 2012, 648p.
3.     Szeliski R. Computer Vision: Algorithms and Applications. Springer, 2011, 812 p.
4.     Capril B., Torre V. Using vanishing points for camera calibration. International Journal of Computer Vision, 1990, vol. 4, no. 2, pp. 127–139. doi: 10.1007/BF00127813
5.     Cipolla R., Drummond T., Robertson D.P. Camera calibration from vanishing points in images of architectural scenes. Proc. of British Machine Vision Conference. Nottingham, UK, 1999, vol. 2, pp. 382–391.
6.     Chen B., Wang W., Qin Q. Stereo vision calibration based on GMDH neural network. Applied Optics, 2012, vol. 51, no. 7, pp. 841–845. doi: 10.1364/AO.51.000841
7.     Hu Z., Tan Z. Calibration of stereo cameras from two perpendicular planes. Applied Optics, 2005, vol. 44, no. 24, pp. 5086–5090. doi: 10.1364/AO.44.005086
8.     Kozyreva A.V. O nekotorykh sposobakh kalibrovki videokamery [Some methods of video cameras calibration]. Available at: http://db.iis.nsk.su/preprints/articles/pdf/sbor_kas_13_kozyreva_2.pdf (accessed 13.05.2014).
9.     Ali-Bey M., Moughamir S., Manamanni N. Calibration method for multiview camera with coplanar and decentered image sensors. Journal of Electronic Imaging, 2013, vol. 22, no. 2, art. no. 023021. doi: 10.1117/1.JEI.22.2.023021
10.  Zhang Z. Flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, vol. 22, no. 11, pp. 1330–1334. doi: 10.1109/34.888718
11.  Bouguet J.-Y. Camera Calibration Toolbox for Matlab. Available at: http://www.vision.caltech.edu/bouguetj/calib_doc/ (accessed 13.05.2014).
12.  Gruzman I.S., Kirichuk V.S., Kosykh V.P., Peretyagin G.I., Spektor A.A. Tsifrovaya Obrabotka Izobrazhenii v Informatsionnykh Sistemakh [Digital Image Processing in Information Systems]. Novosibirsk, NSTU Publ., 2002, 352 с.
13.  Hartley R., Zisserman A. Multiple View Geometry in Computer Vision. Cambridge University Press, 2004, 670 p.
14.  Forsyth D.A., Ponce J. Computer Vision: a Modern Approach. 2nd ed. Prentice Hall, 2011, 792 p.
15.  Shapiro L.G., Stockman G.C. Computer Vision. Prentice Hall, 2001, 608 p.
16.  Krylov D.V. Issledovanie metoda fotogrammetricheskoi kalibrovki tsifrovykh kamer s ispol'zovaniem prostranstvennogo test-ob"ekta [Wavelet analysis of integral derived time series of dangerous asteroids’ movement]. Izvestiya VUZov. Geodeziya i Aerofotos"emka, 2011, no. 1, pp. 57–62.


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