The perceptual influence of spatiotemporal noise reconstruction of shape from dynamic occlusion

Theresa Cooke, Douglas W. Cunningham, Heinrich H. Bülthoff

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsCarl Edward Rasmussen, Heinrich H. Bulthoff, Bernhard Scholkopf, Martin A. Giese
PublisherSpringer Verlag
Pages407-414
Number of pages8
ISBN (Print)3540229450, 9783540229452
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3175
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Cooke, T., Cunningham, D. W., & Bülthoff, H. H. (2004). The perceptual influence of spatiotemporal noise reconstruction of shape from dynamic occlusion. In C. E. Rasmussen, H. H. Bulthoff, B. Scholkopf, & M. A. Giese (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 407-414). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3175). Springer Verlag. https://doi.org/10.1007/978-3-540-28649-3_50