The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion

  • Theresa Cooke
  • Douglas W. Cunningham
  • Heinrich H. Bülthoff
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3175)


When an object moves, it covers and uncovers texture in the background. This pattern of change is sufficient to define the object’s shape, velocity, relative depth, and degree of transparency, a process called Spatiotemporal Boundary Formation (SBF). We recently proposed a mathematical framework for SBF, where texture transformations are used to recover local edge segments, estimate the figure’s velocity and then reconstruct its shape. The model predicts that SBF should be sensitive to spatiotemporal noise, since the spurious transformations will lead to the recovery of incorrect edge orientations. Here we tested this prediction by adding a patch of dynamic noise (either directly over the figure or a fixed distance away from it). Shape recognition performance in humans decreased to chance levels when noise was placed over the figure but was not affected by noise far away. These results confirm the model’s prediction and also imply that SBF is a local process.


Global Motion Illusory Contour Element Transformation Noise Pattern Dynamic Noise 
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  1. 1.
    Gibson, J.J., Kaplan, G.A., Reynolds Jr., H.N., Wheeler, K.: The change from visible to invisible: A study of optical transitions. Perception & Psychophysics 5, 113–116 (1969)CrossRefGoogle Scholar
  2. 2.
    Shipley, T.F., Cunningham, D.W.: Perception of occluding and occluded objects over time: Spatiotemporal segmentation and unit formation. In: Shipley, T.F., Kellman, P.J. (eds.) From fragments to objects: Segmentation and grouping in vision, pp. 557–585. Elsevier Science, Oxford (2001)CrossRefGoogle Scholar
  3. 3.
    Shipley, T.F., Kellman, P.J.: Optical tearing in spatiotemporal boundary formation: When do local element motions produce boundaries, form, and global motion? Spatial Vision: Special Issue: In honor of Bela Julesz 7, 323–339 (1993)Google Scholar
  4. 4.
    Shipley, T.F., Kellman, P.J.: Spatiotemporal boundary formation: Boundary, form, and motion perception from transformations of surface elements. Journal of Experimental Psychology: General 123, 3–20 (1994)CrossRefGoogle Scholar
  5. 5.
    Shipley, T.F., Kellman, P.J.: Spatiotemporal boundary formation: The role of local motion signals in boundary perception. Vision Research 37, 1281–1293 (1997)CrossRefGoogle Scholar
  6. 6.
    Cunningham, D.W., Graf, A.B.A., Bülthoff, H.H.: A relative encoding approach to modelling spatiotemporal boundary formation. Journal of Vision, VSS Abstract, 120 (2002)Google Scholar
  7. 7.
    Cunningham, D.W., Graf, A.B.A., Cooke, T., Wallraven, C., Bülthoff, H.H.: The perception of objects from dynamic occlusion: A relative encoding implementation. under review (2004)Google Scholar
  8. 8.
    Cooke, T., Cunningham, D.W., Wallraven, C.: Local processing in spatiotemporal boundary formation. In: Proceedings of the 7th Tübingen Perception Conference, p. 65 (2004)Google Scholar
  9. 9.
    Grossberg, S., Mingolla, E.: Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading. Psychological Review 92, 173–211 (1985)CrossRefGoogle Scholar
  10. 10.
    Shipley, T.F., Kellman, P.J.: Boundary completion in illusory contours: Interpolation or extrapolation? Perception 32, 985–999 (2003)CrossRefGoogle Scholar
  11. 11.
    Williams, L.R., Jacobs, D.W.: Stochastic completion fields: A neural model of illusory contour shape and salience. Neural Computation 9(4), 837–858 (1997)CrossRefGoogle Scholar
  12. 12.
    Cunningham, D.W., Shipley, T.F., Kellman, P.J.: Interactions between spatial and spatiotemporal information in spatiotemporal boundary formation. Perception & Psychophysics 60, 839–851 (1998)CrossRefGoogle Scholar
  13. 13.
    Wallach, H.: Über visuell warhgenomme bewegungsrichtung. Psychologische Forshcung 20, 325–380 (1935)CrossRefGoogle Scholar
  14. 14.
    Cunningham, D.W., Shipley, T.F., Kellman, P.J.: The dynamic specification of surfaces and boundaries. Perception 27, 403–416 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Theresa Cooke
    • 1
  • Douglas W. Cunningham
    • 1
  • Heinrich H. Bülthoff
    • 1
  1. 1.Max Planck Institute for Biological CyberneticsTübingenGermany

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