de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

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

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83865

Cooke,  T
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83870

Cunningham,  DW
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Cooke, T., Cunningham, D., & Bülthoff, H. (2004). The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion. DAGM 2004, 407-414.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-D7F3-8
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.