With the advancement of minimally invasive techniques for surgical and diagnostic procedures, there is a growing need for the development of methods for improved visualization of internal body structures. Video mosaicking is one method for doing this. This approach provides a broader field of view of the scene by stitching together images in a video sequence. Of particular importance is the need for online processing to provide real-time feedback and visualization for image-guided surgery and diagnosis. We propose a method for online video mosaicking applied to endoscopic imagery, with examples in microscopic retinal imaging and catadioptric endometrial imaging.


Registration Error Omnidirectional Imager Grin Lens Grid Circle Compute Motion 
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.


  1. 1.
    Capel, D.: Image Mosaicing and Super-resolution. PhD thesis, Robotics Research Group, Department of Engineering Science, University of Oxford (2001)Google Scholar
  2. 2.
    Shum, H., Szeliski, R.: Construction of panoramic image mosaics with global and local alignment. IJCV 16, 63–84 (2000)Google Scholar
  3. 3.
    Dey, D., Gobbi, D., Surry, K.J.M., Slomka, P., Peters, T.: Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: Creating stereoscopic panoramas. IEEE Transactions on Medical Imaging 21, 23–30 (2002)CrossRefGoogle Scholar
  4. 4.
    Dornaika, F., Elder, J.H.: Image registration for foveated omnidirectional sensing. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 606–620. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  5. 5.
    Baker, S., Matthews, I.: Lucas-kanade 20 years on: A unifying framework: Part 1. Technical report, CMU-RI (2002)Google Scholar
  6. 6.
    Hager, G., Belhumeur, P.: Efficient region tracking with parametric models of geometry and illumination. IEEE PAMI 20, 1025–1039 (1998)Google Scholar
  7. 7.
    Can, A., Stewart, C., Roysam, B., Tanenbaum, H.: A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE PAMI 24, 347–364 (2002)Google Scholar
  8. 8.
    Lu, L., Dai, X., Hager, G.: Real time video mosaicing. cirl technical report. Technical report, Dept. of Computer Science, Johns Hopkins University (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sharmishtaa Seshamani
    • 1
  • William Lau
    • 2
  • Gregory Hager
    • 1
  1. 1.Department of Computer ScienceJohns Hopkins UniversityBaltimore
  2. 2.National Institutes of HealthBethesda

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