Skip to main content

Abstract

In this talk I will try to show what Active Vision is, and what it is not. The dominant paradigm in past computer vision research will be illustrated, and the benefits emerging from the active approach will be underlined. Beyond that, I will describe the related approach of purposive and qualitative vision, and try to place the active approach in the perspective of an intelligent perception system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. D. Marr, VISION. A Computational Investigation into the Human Representation and Processing of Visual Information, W. H. Freeman and Co. (1982).

    Google Scholar 

  2. E.K. Warrington and A.M. Taylor, The contribution of the right parietal lobe to object recognition, Cortex, Vol.9, pp. 152-164.

    Google Scholar 

  3. E.L. Schwartz, Spatial mapping in the primate sensory projection: analytical structure and relevance to perception, Biol. Cybernet., Vol.25, pp. 181–194 (1977).

    Article  CAS  Google Scholar 

  4. G. Sandini and V. Tagliasco, An anthropomorphic retina-like structure for scene analysis, Comp. Graphics Image Proc, Vol.14, pp. 365–372 (1980).

    Article  Google Scholar 

  5. R. Baicsy, Active perception, Proceedings of the IEEE, Vol.76, pp. 996–1005 (1988).

    Google Scholar 

  6. J. Aloimonos, I. Weiss, and A. Bandyopadhyay, Active vision, Proc. 1st ICCV, IEEE, London, UK (1987).

    Google Scholar 

  7. J. Aloimonos, I. Weiss, and A. Bandyopadhyay, Active vision, Int. Journal of Computer Vision, Vol.1, pp. 333–356 (1988).

    Article  Google Scholar 

  8. B.K.P. Horn, Understanding image intensities, Artificial Intelligence, Vol.8, pp. 201–231 (1977).

    Article  Google Scholar 

  9. B.K.P. Horn, Robot Vision, Mc Graw Hill (1986).

    Google Scholar 

  10. A.L. Yarbus, Eye Movements and Vision, Plenum Press (1967).

    Google Scholar 

  11. J.J. Gibson, The Perception of the Visual World, Houghton Mifflin, Boston, MA (1950).

    Google Scholar 

  12. J.J. Gibson, The Senses Considered as Perceptual Systems, Houghton Mifflin, Boston, MA (1966).

    Google Scholar 

  13. J.J. Gibson, The Ecological Approach to Visual Perception, Houghton Mifflin, Boston, MA (1979).

    Google Scholar 

  14. A. Verri and T. Poggio, Against quantitative optical flow, Proc. 1st ICCV, IEEE, London, UK (1987).

    Google Scholar 

  15. J. Aloimonos, Purposive and qualitative active vision, Proc. 10th IAPR, Atlantic City, NJ (1990).

    Google Scholar 

  16. R. Sharma and J. Aloimonos, Robust detection of independent motion: an active and purposive solution, CAR-TR-534, Univ. of Maryland (1991).

    Google Scholar 

  17. C.M. Brown, Gaze controls with interactions and delays, IEEE Tr. on Systems, Man, and Cybernetics, Vol.20, No.3, (1990).

    Google Scholar 

  18. D.J. Coombs and C.M. Brown, Cooperative gaze holding in binocular robot vision, IEEE Control Systems, pp. 24-33 (1991).

    Google Scholar 

  19. D.J. Coombs, Real-time gaze holding in binocular robot vision, TR 415, Comp. Sc. Dept., Univ. of Rochester (1992).

    Google Scholar 

  20. L. Huang and J. Aloimonos, Relative depth from motion using normal flow: an active and purposive solution, CAR-TR-535, Univ. of Maryland (1991).

    Google Scholar 

  21. C. Fermuller and J. Aloimonos, Tracking facilitates 3-D motion estimation, CAR-TR-618, Univ. of Maryland (1992).

    Google Scholar 

  22. C.M. Brown, Issues in selective perception, Proc. 11th IAPR ICPR, Vol.1, pp. 21–30 (1992).

    Google Scholar 

  23. J.J. Clark and N.J. Ferrier, Modal control of an attentive vision system, Proc. 2nd ICCV, IEEE, Tampa FL, pp. 514–523 (1988).

    Google Scholar 

  24. E.D. Dickmanns and T. Christians, Relative 3D-state estimation for autonomous visual guidance of road vehicles, Intelligent Autonomous Systems, Vol.2, pp. 683–693 (1989).

    Google Scholar 

  25. E.D. Dickmanns, B. Mysliwetz, and T. Christians, An integrated spatio-temporal approach to automated visual guidance of autonomous vehicles, IEEE Tr. on Systems, Man and Cybernetics, Vol.20, pp. 1273–1284 (1990).

    Article  Google Scholar 

  26. J. Aloimonos, Special number on purposive, qualitative, active vision, CVGIP: Image Understanding, p. 56 (1992).

    Google Scholar 

  27. A. Blake and A. Yuille, Active Vision, MIT Press, Cambridge, MA (1992).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer Science+Business Media New York

About this chapter

Cite this chapter

Savini, M. (1994). Active Vision. In: Cantoni, V. (eds) Human and Machine Vision. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1004-2_11

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-1004-2_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-1006-6

  • Online ISBN: 978-1-4899-1004-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics