Practical Intraoperative Stereo Camera Calibration

  • Philip Pratt
  • Christos Bergeles
  • Ara Darzi
  • Guang-Zhong Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8674)


Many of the currently available stereo endoscopes employed during minimally invasive surgical procedures have shallow depths of field. Consequently, focus settings are adjusted from time to time in order to achieve the best view of the operative workspace. Invalidating any prior calibration procedure, this presents a significant problem for image guidance applications as they typically rely on the calibrated camera parameters for a variety of geometric tasks, including triangulation, registration and scene reconstruction. While recalibration can be performed intraoperatively, this invariably results in a major disruption to workflow, and can be seen to represent a genuine barrier to the widespread adoption of image guidance technologies. The novel solution described herein constructs a model of the stereo endoscope across the continuum of focus settings, thereby reducing the number of degrees of freedom to one, such that a single view of reference geometry will determine the calibration uniquely. No special hardware or access to proprietary interfaces is required, and the method is ready for evaluation during human cases. A thorough quantitative analysis indicates that the resulting intrinsic and extrinsic parameters lead to calibrations as accurate as those derived from multiple pattern views.


Transanal Endoscopic Microsurgery Camera Calibration Camera Parameter Focus Position Camera Model 
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  1. 1.
    Edwards, P., King, A., Maurer, C., De Cunha, D., Hawkes, D., Hill, D., Gaston, R., Fenlon, M., Jusczyzck, A., Strong, A., Chandler, C., Gleeson, M.: Design and evaluation of a system for microscope-assisted guided interventions (MAGI). IEEE Transactions on Medical Imaging 19(11), 1082–1093 (2000)CrossRefGoogle Scholar
  2. 2.
    Schmidt, J., Vogt, F., Niemann, H.: Nonlinear Refinement of Camera Parameters using an Endoscopic Surgery Robot. In: Ikeuchi, K. (ed.) Proceedings of IAPR Conference on Machine Vision Applications, pp. 40–43 (2002)Google Scholar
  3. 3.
    Stoyanov, D., Darzi, A., Yang, G.Z.: Laparoscope Self-Calibration for Robotic Assisted Minimally Invasive Surgery. In: Duncan, J., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 114–121. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  4. 4.
    Dang, T., Hoffmann, C., Stiller, C.: Continuous Stereo Self-Calibration by Camera Parameter Tracking. IEEE Transactions on Image Processing 18(7), 1536–1550 (2009)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Barreto, J., Roquette, J., Sturm, P., Fonesca, F.: Automatic Camera Calibration Applied to Medical Endoscopy. In: Proceedings of the British Machine Vision Conference, pp. 1–10 (2009)Google Scholar
  6. 6.
    Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)CrossRefGoogle Scholar
  7. 7.
    Bouguet, J.-Y.: Camera Calibration Toolbox for Matlab,
  8. 8.
    Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Media, Inc. (2008)Google Scholar
  9. 9.
    Hirschmüller, H.: Stereo processing by semiglobal matching and mutual information. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(2), 328–341 (2008)CrossRefGoogle Scholar
  10. 10.
    Pratt, P., Di Marco, A., Payne, C., Darzi, A., Yang, G.-Z.: Intraoperative Ultrasound Guidance for Transanal Endoscopic Microsurgery. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part I. LNCS, vol. 7510, pp. 463–470. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  11. 11.
    Hughes-Hallett, A., Pratt, P., Mayer, E., Di Marco, A., Yang, G.-Z., Vale, J., Darzi, A.: Intraoperative Ultrasound Overlay in Robot-assisted Partial Nephrectomy: First Clinical Experience. European Urology (2013),

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Philip Pratt
    • 1
  • Christos Bergeles
    • 1
  • Ara Darzi
    • 1
  • Guang-Zhong Yang
    • 1
  1. 1.Hamlyn Centre for Robotic Surgery, Technology and MedicineImperial College of ScienceLondonUK

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