Advertisement

Integrating primary ocular processes

  • Kourosh Pahlavan
  • Tomas Uhlin
  • Jan-Olof Eklundh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)

Abstract

The study of active vision using binocular head-eye systems requires answers to some fundamental questions in control of attention. This paper presents a cooperative solution to resolve the ambiguities generated by the processes engaged in fixation. We suggest an approach based on integration of these processes, resulting in cooperatively extracted unique solutions.

The discussion is started by a look at biological vision. Based on this discussion, a model of integration for machine vision is suggested. The implementation of the model on the KTH-head—a head-eye system simulating the essential degrees of freedom in mammalians—is explained and in this context, the primary processes in the head-eye system are briefly described. The major stress is put on the idea that the rivalry processes in vision in general, and the head's behavioral processes in particular, result in a reliable outcome.

As an experiment, the ambiguities raised by fixation at repetitive patterns is tested; the cooperative approach proves to handle the problem correctly and find a unique solution for the fixation point dynamically and in real-time.

Keywords

Primary Process Binocular Rivalry Repetitive Pattern Epipolar Line Dominant Image 
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.

References

  1. [AlK85]
    M. A. Ali, M. A. Klyne. Vision in Vertebrates, Plenum Press, New York, 1985Google Scholar
  2. [BaF91]
    S. T. Barnard, M. A. Fischler Computational and Biological Models of Stereo Vision, to appear in the Wiley Encyclopedia of Artificial Intelligence (2nd edition), 1991Google Scholar
  3. [Brn88]
    C. Brown. The Rochester Robot, Tech. Rep., Univ. of Rochester, 1988Google Scholar
  4. [ClF88]
    J. J. Clark, N. J. Ferrier. Modal Control of an Attentive Vision System, Proc. of the 2nd ICCV, Tarpon, Springs, Fl, 1988Google Scholar
  5. [Col91]
    H. Collewijn. Binocular Coordination of Saccadic Gaze Shifts: Plasticity in Time and Space, Sixth European Conference on Eye Movements, Leuven, Belgium, 1991Google Scholar
  6. [DeF90]
    R. Deriche, O. Faugeras. Tracking Line Segments, Proc. of the 1st ECCV, Antibes, France, 1988Google Scholar
  7. [Gal91]
    V. R. Galoyan Hydrobiomechanical Model of Eye Placing and Movements, Sixth European Conference on Eye Movements, Leuven, Belgium, 1991Google Scholar
  8. [Hub88]
    D. H. Hubel. Eye, Brain, and Vision, Scientific American Library, 1988Google Scholar
  9. [Jen91]
    M. R. M. Jenkin Using Stereo Motion to Track Binocular Targets, Proc. of CVPR, Lahainz, Hawaii, 1991Google Scholar
  10. [Jul71]
    B. Julesz. Fundations of Cyclopean Perception, The University of Chicago Press, 1971Google Scholar
  11. [Kkv87]
    E. P. Krotkov. Exploratory Visual Sensing for Determinig Spatial Layout with an Agile Stereo System, PhD thesis, 1987Google Scholar
  12. [PaE90]
    K. Pahlavan, J. O. Eklundh. A Head-Eye System for Active, Purposive Computer Vision, TRITA-NA-P9031, KTH, Stockholm, Sweden, 1990Google Scholar
  13. [PaE92]
    K. Pahlavan, J. O. Eklundh. Head, Eyes and Head-Eye Systems, SPIE Machine and Robotics Conference, Florida, 1992 (To appear)Google Scholar
  14. [Ybs67]
    A. Yarbus. Eye Movements and Vision, Plenum Press, New York, 1967Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Kourosh Pahlavan
    • 1
  • Tomas Uhlin
    • 1
  • Jan-Olof Eklundh
    • 1
  1. 1.Computational Vision and Active Perception Laboratory (CVAP)Royal Institute of TechnologyStockholmSweden

Personalised recommendations