Skip to main content
Log in

The cue interaction model of depth perception: a stability analysis

  • Published:
Journal of Mathematical Biology Aims and scope Submit manuscript

Abstract

In this paper, we offer a stability analysis of “the cue interaction model” of depth perception (House (1984)). Depth estimation using stereopsis suffers from the “matching problem”, the problem of correctly matching the retinal image of a feature in one eye, to its retinal image in the other eye. The Cue Interaction Model overcomes this by using monocular cues to disambiguate between the “correct matches” and the “incorrect matches”. Its decision making is based on the concept of cooperation and competition in a neural network. A general class of cooperative and competitive models has been mathematically analysed by Amari and Arbib (1977), with special attention given to equilibrium states and stability. In this paper we adapt their methods to study the above model. In particular, we prove that if the parameters are correctly tuned, the model successfully achieves its goals by suppressing the cues which represent the “incorrect matches”.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Amari, S., Arbib, M. A.: Competition and cooperation in neural nets. In Metzler, J. (ed.) Systems neuroscience, pp. 119–165. New York: Academic Press 1977

    Google Scholar 

  2. Arbib, M. A.: Levels of analysis of visuomotor coordination. Behav. Brain Sci., in press

  3. Arbib, M. A., Boylls, C. C., Dev, P.: Neural models of spatial perception and control of movement. In: (Keidel, W. D., Handler, W., Spreng, M. (eds.)) Cybernetics and bionics, pp. 216–231. Munich: Oldenbourg 1984

    Google Scholar 

  4. Arbib, M. A., Overton, K. J., Lawton, D. T.: Perceptual systems for robotics. Interdisc. Sci. Rev. 9, 31–46 (1984)

    Google Scholar 

  5. Collett, T.: Stereopsis in toads. Nature, 267 349–351 (1977)

    Google Scholar 

  6. Dev, P.: Perception of depth surfaces in random-dot stereograms: a neural model. Int. J. Man-Machine Studies 7, 511–528 (1975)

    Google Scholar 

  7. Hirai, Y., Fukushima, K.: An inference upon the neural network finding binocular correspondence. Biol. Cybernetics 31, 209–217 (1978)

    Google Scholar 

  8. House, D. H.: Neural models of depth perception in frogs and toads. Ph.d Thesis, COINS Technical Report 84-16, Dept. of Computer and Information Science, University of Massachusetts at Amherst

  9. Ingle, D.: Spatial visions in anurans. In: Fite, K. (ed.) The amphibian visual system: a multidisciplinary approach, pp. 119–140. New York: Academic Press 1986

    Google Scholar 

  10. Marr, D., Poggio, T.: Cooperative computation of stereo disparity. Science 194, 283–287 (1976)

    Google Scholar 

  11. Poggio, G., Poggio, T.: The analysis of stereopsis. Ann. Rev. Neurosci. 7, 379–412 (1984)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Preparation of this paper was supported in part by NIH grant number NS-1 R01 NS24926 from NINCDS

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chipalkatti, R., Arbib, M.A. The cue interaction model of depth perception: a stability analysis. J. Math. Biology 26, 235–262 (1988). https://doi.org/10.1007/BF00277391

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00277391

Key words

Navigation