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A video joystick from a toy

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Published:15 November 2001Publication History

ABSTRACT

The paper describes an algorithm for 3D reconstruction of a toy composed from rigid bright colored blocks with the help of a conventional video camera. The blocks are segmented using histogram thresholds and merged into one connected component corresponding to the whole toy. We also present the algorithm for extracting the color structure and matching feature points across the frames and discuss robust structure from motion and recognition connected with the subject.

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References

  1. Shi J., Tomasi C., Good features to track. CVPR, 1994, 593--600.Google ScholarGoogle Scholar
  2. Lukas B. D., Kanade T., An iterative image registration technique with an application to stereo vision. IJCAI, 1981, 121--130.Google ScholarGoogle Scholar
  3. Faugeras O., Three-dimensional computer vision. The MIT Press, second printing, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Weng J., Ahuja N., Huang T. S., Motion and structure from points correspondence with error estimation: planar surfaces. IEEE Transactions on Signal Processing, V.39, Issue 12, 1991, 2691--2717.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Tomasi C., Manduchi R., Bilateral filtering for gray and color images, ICCV, 1998, 839--846. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Skarbek W., Koschan A., Color image segmentation - a survey. Technical report, Technical University, Berlin, 1994.Google ScholarGoogle Scholar
  7. Chen Y. L., Nakatani H., Image region correspondence by structural similarity. ICPR, V.3, 1992, 18--21.Google ScholarGoogle Scholar
  8. Pardalos P. M., Xue, J, The maximum clique problem, Journal of Global Optimization, 4, 1994, 301--328.Google ScholarGoogle ScholarCross RefCross Ref
  9. Bradski G. R., Pisarevsky V. P., Intel's Computer Vision Library: applications in stereo, calibration.. CVPR 2000, V.2, 796--797.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Other conferences
    PUI '01: Proceedings of the 2001 workshop on Perceptive user interfaces
    November 2001
    241 pages
    ISBN:9781450374736
    DOI:10.1145/971478

    Copyright © 2001 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 15 November 2001

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