English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Report

A psychophysical and computational analysis of intensity-based stereo

MPS-Authors
/persons/resource/persons84072

Mallot,  HA
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83839

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Mallot, H., Arndt, P., & Bülthoff, H.(1995). A psychophysical and computational analysis of intensity-based stereo (18). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-EC90-3
Abstract
We describe two psychophysical experiments testing predictions of the square difference mechanism proposed for intensity-based stereo in an earlier paper (Arndt et al. 1995). Experiment1 assesses the relative contributions of disparity and contrast to intensity-based stereo by
measuring detection thresholds. The product of disparity and contrast at threshold is shown to be constant. In Experiment 2, we measure quantitatively the global depth position perceived in stereograms of curved, smoothly shaded surfaces. The results show that disparity
averaging over the surface involves a contrast dependent weighting function. The results from both experiments are consistent with predictions derived from the square difference mechanism. The relation of this mechanism to feature correspondence stereopsis and
shape-from-shading is discussed and a general framework for
assessing the modularity of stereopsis is presented.