English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

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

Cooke, T., Cunningham, D., & Bülthoff, H. (2004). The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion. In C. Rasmussen, H. Bülthoff, B. Schölkopf, & M. Giese (Eds.), Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004 (pp. 407-414). Berlin, Germany: Springer.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D7F3-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-5268-A
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Cooke, T1, 2, Author              
Cunningham, DW1, 2, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 2004-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-540-28649-3_50
BibTex Citekey: 2791
 Degree: -

Event

show
hide
Title: 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004)
Place of Event: Tübingen, Germany
Start-/End Date: 2004-08-30 - 2004-09-01

Legal Case

show

Project information

show

Source 1

show
hide
Title: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004
Source Genre: Proceedings
 Creator(s):
Rasmussen, CE1, Editor            
Bülthoff, HH1, Editor            
Schölkopf, B1, Editor            
Giese, MA, Editor            
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 407 - 414 Identifier: ISBN: 978-3-540-22945-2

Source 2

show
hide
Title: Lecture Notes in Computer Science
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 3175 Sequence Number: - Start / End Page: - Identifier: -