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

Theresa Cooke, Douglas W. Cunningham, Heinrich Bulthoff

Research output: Contribution to journalArticle

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
Pages (from-to)407-414
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3175
Publication statusPublished - 2004 Dec 1
Externally publishedYes

Fingerprint

Occlusion
Noise
Textures
Figure
Transparency
Texture
Spatio-temporal Process
Shape Recognition
Recovery
Prediction Model
Patch
Cover
Sufficient
Imply
Predict
Influence
Prediction
Estimate
Object
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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