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
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
Desolneux, A., Moisan, L.N., Morel, J.M.: From Gestalt Theory to Image Analysis : A Probabilistic Approach. Springer, Heidelberg (2008)
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)
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)
Hutchins, E.: Cognition in the Wild. MIT Press, Cambridge (1995)
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)
Varela, F., Thomson, E., Rosch, E.: L’Inscription Corporelle de l’Esprit, Le Seuil, Paris (1993)
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)
Weyns, D., Steegmans, E., Holvoet, T.: A Model for Active Perception in Situated Multi-Agent Systems. Applied Artificial Intelligence 18, 867–883 (2004)
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)
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)
Minsky, M.: The Society of Mind. Simon and Shuster, New York (1985)
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)
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)
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)
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)
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)
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)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)