Computer Vision: A Plea for a Constructivist View | SpringerLink
Skip to main content
Springer Nature Link
Log in

Computer Vision: A Plea for a Constructivist View

  • Conference paper
Artificial Intelligence in Medicine (AIME 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5651))

Included in the following conference series:

Abstract

Computer vision is presented and discussed under two complementary views. The positivist view provides a formal background under which vision is approached as a problem-solving task. By contrast, the constructivist view considers vision as the opportunistic exploration of a realm of data. The former view is rather well supported by evidence in neurophysiology while the latter view rather relies on recent trends in the field of distributed and situated cognition. The notion of situated agent is presented as a way to design computer vision systems under a constructivist hypothesis. Various applications in the medical domain are presented to support the discussion.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight 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.

Similar content being viewed by others

References

  1. Paragios, N., Chen, Y., Faugeras, O.: Preface. In: Paragios, N., Chen, Y., Faugeras, O. (eds.) The Handbook of Mathematical Models in Computer Vision, pp. 1–5. Springer, Heidelberg (2005)

    Google Scholar 

  2. Desolneux, A., Moisan, L.N., Morel, J.M.: From Gestalt Theory to Image Analysis : A Probabilistic Approach. Springer, Heidelberg (2008)

    Book  Google Scholar 

  3. Kokkinos, I., Deriche, R., Faugeras, O., Maragos, P.: A Computational Analysis and Learning for a Biologically Motivated Model of Boundary Detection. Neurocomputing 71, 1798–1812 (2008)

    Article  Google Scholar 

  4. Thorpe, S.J., Guyonneaua, R., Guilbauda, N., Allegrauda, J.-M., VanRullen, R.: SpikeNet: Real-Time Visual Processing with one Spike per Neuron. Neurocomputing 58–60, 857–864 (2004)

    Google Scholar 

  5. Hutchins, E.: Cognition in the Wild. MIT Press, Cambridge (1995)

    Google Scholar 

  6. Suchman, L.A.: Plans and Situated Action: the Problem of Human-Machine Interaction. In: Pea, R., Brown, J.S. (eds.). Cambridge University Press, Cambridge (1987)

    Google Scholar 

  7. Varela, F., Thomson, E., Rosch, E.: L’Inscription Corporelle de l’Esprit, Le Seuil, Paris (1993)

    Google Scholar 

  8. Nardi, B.A.: Studying Context: a Comparison of Activity Theory, Situated Action Models and Distributed Cognition. In: Nardi, B.A. (ed.) Context and Consciousness: Activity Theory and Human-Computer Interaction. MIT Press, Cambridge (1996)

    Google Scholar 

  9. Weyns, D., Steegmans, E., Holvoet, T.: A Model for Active Perception in Situated Multi-Agent Systems. Applied Artificial Intelligence 18, 867–883 (2004)

    Article  Google Scholar 

  10. Bianchi, N., Bottoni, P., Spinu, C., Garbay, C., Mussio, P.: Situated Image Understanding in a Multi-Agent Framework. International Journal of Pattern Recognition and Artificial Intelligence 12, 595–624 (1998)

    Article  Google Scholar 

  11. Resnick, L.B.: Shared Cognition: Thinking as Social Practice, Perspectives on Socially Shared Cognition. In: Resnick, L.B., Levine, J.M., Thistle, S.D. (eds.), pp. 1–20. American Psychological Association, Washington (1991)

    Google Scholar 

  12. Minsky, M.: The Society of Mind. Simon and Shuster, New York (1985)

    Google Scholar 

  13. Shariatpanahi, H.F., Batmanghelich, N., Kermani, A.R.M., Ahmadabadi, M.N., Soltanian-Zadeh, H.: Distributed Behavior-Based Multi-Agent System for Automatic Segmentation of Brain MR Images. In: International Joint Conference on Neural Networks, Vancouver, BC, Canada, pp. 4535–4542 (2006)

    Google Scholar 

  14. Bovenkamp, E.G.P., Dijkstra, J., Bosch, J.G., Reiber, J.H.C.: Multi-Agent Segmentation of IVUS Images. Pattern Recognition 4, 647–663 (2004)

    Article  Google Scholar 

  15. Maes, P.: Situated Agents can have Goals. In: Maes, P. (ed.) Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back, pp. 49–70. MIT Press, London (1990)

    Google Scholar 

  16. Germond, L., Dojat, M., Taylor, C.J., Garbay, C.: A Cooperative Framework for Segmentation of MRI Brain Scans. Artificial Intelligence in Medicine 20, 77–93 (2000)

    Article  CAS  PubMed  Google Scholar 

  17. Spinu, C., Garbay, C., Chassery, J.M.: A Cooperative and Adaptive Approach to Medical Image Segmentation. In: Wyatt, J.C., Stefanelli, M., Barahona, P. (eds.) AIME 1995. LNCS, vol. 934, pp. 379–390. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  18. Boucher, A., Doisy, A., Ronot, X., Garbay, C.: A society of Goal-Oriented Agents for the Analysis of Living Cells. Artificial Intelligence in Medecine 14, 183–199 (1998)

    Article  CAS  Google Scholar 

  19. Scherrer, B., Dojat, M., Forbes, F., Garbay, C.: Agentifiation of Markov Model Based Segmentation: Application to MRI Brain Scans. Artificial Intelligence in Medicine 46, 81–95 (2009)

    Article  PubMed  Google Scholar 

  20. Oulasvirta, A., Tamminen, S., Höök, K.: Comparing Two Approaches to Context: Realism and Constructivism. In: Proc of the 4th Decennial Conference on Critical Computing: between Sense and Sensibility, Aarhus, Denmar, pp. 195–198 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratoire d’Informatique de Grenoble, CNRS-Université de Grenoble, Batiment IMAG B, 385 avenue de la Bibliothèque, 38400, Saint Martin d’Hères, France

    Catherine Garbay

Authors
  1. Catherine Garbay
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Verona, Department of Computer Science, Ca’ Vignal 2, strada le Grazie 15, 37134, Verona, Italy

    Carlo Combi

  2. Department of Information Systems Engineering, Ben Gurion University of the Negev, P.O. Box 653, 84105, Beer-Sheva, Israel

    Yuval Shahar

  3. Department of Medical Informatics, University of Amsterdam, Academic Medical Center, Meibergdreef 15, 1105, Amsterdam, AZ, The Netherlands

    Ameen Abu-Hanna

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Garbay, C. (2009). Computer Vision: A Plea for a Constructivist View. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02976-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02975-2

  • Online ISBN: 978-3-642-02976-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation