A Multi-imager Camera for Variable-Definition Video (XDTV)

  • H. Harlyn Baker
  • Donald Tanguay
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4105)


The enabling technologies of increasing PC bus bandwidth, multicore processors, and advanced graphics processors combined with a high-perform-ance multi-image camera system are leading to new ways of considering video. We describe scalable varied-resolution video capture, presenting a novel method of generating multi-resolution dialable-shape panoramas, a line-based calibration method that achieves optimal multi-imager global registration across possibly disjoint views, and a technique for recasting mosaicking homographies for arbitrary planes. Results show synthesis of a 7.5 megapixel (MP) video stream from 22 synchronized uncompressed imagers operating at 30 Hz on a single PC.


Direct Memory Access Bundle Adjustment Multicore Processor Variable Resolution Camera Array 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Baker, Harlyn, H., Tanguay, D., Papadas, C.: Multi-viewpoint uncompressed capture and mosaicking with a high-bandwidth PC camera array. In: Proc. IEEE Workshop on Omnidirectional Vision (2005)Google Scholar
  2. 2.
    Burt, P.J., Adelson, E.H.: A multi-resolution spline with application to image mosaics. ACM Trans. on Graphics 2(2) (1983)Google Scholar
  3. 3.
    Canny, J.: A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence 8, 679–698 (1986)CrossRefGoogle Scholar
  4. 4.
    Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)MATHGoogle Scholar
  5. 5.
    Integrated Systems Development, S.A., Athens, Greece,
  6. 6.
    Robinson, D., Milanfar, P.: Statistical performance and analysis of super-resolution image reconstruction. In: Proceedings of Intl. Conf. on Image Processing (2003)Google Scholar
  7. 7.
    Sawhney, H.S., Hsu, S., Kumar, R.: Robust video mosaicing through topology inference and local to global alignment. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 103–119. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  8. 8.
    Vaish, V., Wilburn, B., Joshi, N., Levoy, M.: Using Plane + Parallax for Calibrating Dense Camera Arrays. In: IEEE Conf. Computer Vision and Pattern Recognition (2004)Google Scholar
  9. 9.
    Wilburn, B., Joshi, N., Vaish, V., Levoy, M., Horowitz, M.: High speed video using a dense camera array. In: Proc. Computer Vision Pattern Recognition (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • H. Harlyn Baker
    • 1
  • Donald Tanguay
    • 1
  1. 1.Hewlett-Packard LaboratoriesPalo AltoUSA

Personalised recommendations