Technologies for Augmented Reality: Calibration for Real-Time Superimposition on Rigid and Simple-Deformable Real Objects (original) (raw)

Abstract

A current challenge in augmented reality applications is the ability to superimpose synthetic objects on real objects within the environment. This challenge is heightened when the real objects are in motion and/or are non-rigid. Yet even more challenging is the case when the moving real objects involved are deformable. In this article, we present a robust method for calibrating marker-based augmented reality applications to allow real-time, optical superimposition of synthetic objects on dynamic rigid and simple-deformable real objects. Moreover, we illustrate this general method with the VRDA Tool, a medical education application related to the visualization of internal human knee joint anatomy on a real human knee.

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References

  1. T.P. Andriacchi, G. Alexander, M.K. Toney, C. Dyrby, and J. Sum. A Point Cluster Method for In Vivo Motion Analysis: Applied to a Study of Knee Kinematics. Journal of Biomechanics, 1999.
    Google Scholar
  2. Y. Argotti, L. Davis, V. Outters, and J.P. Rolland. Dynamic Superimposition of Synthetic Objects on Rigid and Simple-Deformable Real Objects. In The Second IEEE and ACM International Symposium on Augmented Reality (ISAR’ 01), New York, NY. IEEE Computer Society, IEEE Press, October 2001.
    Google Scholar
  3. Y. Argotti, V. Outters, L. Davis, A. Sun, and J.P. Rolland. Technologies for Augmented Reality: Real-time Superimposition of Synthetic Objects on Dynamic Rigid and Simple-deformable Real Objects. Technical Report TR01-004, University of Central Florida, 2001.
    Google Scholar
  4. K.S. Arun, T.S. Huang, and S.D. Blostein. Least-Squares Fitting of Two 3-D Point Sets. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-9(5):698–700, 1987.
    Article Google Scholar
  5. Y. Baillot, J.P. Rolland, K. Lin, and D.L. Wright. Automatic Modeling of Knee-Joint Motion for the Virtual Reality Dynamic Anatomy (VRDA) Tool. Presence: Teleoperators and Virtual Environments, 9(3):223–235, 2000.
    Article Google Scholar
  6. A. Cappello, A. Cappozzo, P.F. La Palombara, L. Lucchetti, and A. Leardini. Multiple Anatomical Landmark Calibration for Optimal Bone Pose Estimation. Human Movement Science, 16:259–274, 1997.
    Article Google Scholar
  7. H. Hua, A. Girardot, C.Y. Gao, and J.P. Rolland. Engineering of Head-Mounted Projective Displays. Applied Optics, 39(22):3814–3824, 2000.
    Article Google Scholar
  8. W. Robinett and R. Holloway. The Visual Display Transformation for Virtual Reality. Presence: Teleoperators and Virtual Environments, 4(1):1–23, 1995.
    Google Scholar
  9. J.P. Rolland and H. Fuchs. Optical Versus Video See-Through Head-Mounted Displays in Medical Visualization. Presence: Teleoperators and Virtual Environments, 9(3):287–309, 2000.
    Article Google Scholar
  10. J.P. Rolland, W. Gibson, and D. Ariely. Towards Quantifying Depth and Size Perception in Virtual Environments. Presence: Teleoperators and Virtual Environments, 4(1):24–49, 1995.
    Google Scholar
  11. J.P. Rolland and L. Vaissie. Albertian Errors in Head-Mounted Displays: Choice of Eyepoint Location. Technical Report TR01-001, University of Central Florida, 2001.
    Google Scholar
  12. I. Söedrkvist and P.Å. Wedin. Determining the Movement of the Skeleton Using Well-Configured Markers. Journal of Biomechanics, 26(12):1473–1477, 1993.
    Article Google Scholar
  13. C.W. Spoor and F.E. Veldpaus. Technical Note: Rigid Body Motion Calculated from Spatial Coordinates of Markers. Journal of Biomechanics, 13:391–393, 1980.
    Article Google Scholar
  14. D.L. Wright, J.P. Rolland, and A.R. Kancherla. Using Virtual Reality to Teach Radiographic Positioning. Radiologic Technology, 66(4):167–172, 1995.
    Google Scholar

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Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, University of Central Florida, 4000 Central Florida Boulevard, Orlando, Florida, 32816-2700, USA
    Yann Argotti, Larry Davis & Jannick P. Rolland
  2. School of Optics, University of Central Florida, 4000 Central Florida Boulevard, Orlando, Florida, 32816-2700, USA
    Valerie Outters, Ami Sun & Jannick P. Rolland

Authors

  1. Yann Argotti
  2. Valerie Outters
  3. Larry Davis
  4. Ami Sun
  5. Jannick P. Rolland

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Argotti, Y., Outters, V., Davis, L., Sun, A., Rolland, J.P. (2001). Technologies for Augmented Reality: Calibration for Real-Time Superimposition on Rigid and Simple-Deformable Real Objects. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_81

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