Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

The cue interaction model of depth perception: a stability analysis.

R Chipalkatti1, M A Arbib

  • 1GTE Laboratories Inc., Waltham, MA 02254.

Journal of Mathematical Biology
|January 1, 1988
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Self and society: between God and brain.

Trends in cognitive sciences·2011
Same author

Modeling the physiological responses of anuran R3 ganglion cells.

Vision research·2002
Same author

Competitive Hebbian learning and the hippocampal place cell system: modeling the interaction of visual and path integration cues.

Hippocampus·2002
Same author

Co-evolution of human consciousness and language.

Annals of the New York Academy of Sciences·2001
Same author

Modeling functions of striatal dopamine modulation in learning and planning.

Neuroscience·2001
Same author

Précis of Neural organization: structure, function, and dynamics.

The Behavioral and brain sciences·2001

This study analyzes the Cue Interaction Model for depth perception. Properly tuned parameters ensure the model correctly identifies depth cues by suppressing incorrect matches, solving the stereopsis matching problem.

Area of Science:

  • Computational neuroscience
  • Computer vision
  • Psychophysics

Background:

  • Depth perception via stereopsis faces the 'matching problem' of correlating retinal images between eyes.
  • Monocular cues are crucial for resolving ambiguities in stereoscopic depth estimation.
  • The Cue Interaction Model integrates monocular cues to improve stereopsis accuracy.

Purpose of the Study:

  • To perform a mathematical stability analysis of the Cue Interaction Model for depth perception.
  • To adapt existing neural network stability analysis methods (Amari & Arbib, 1977) to the Cue Interaction Model.
  • To demonstrate the model's efficacy in correctly disambiguating depth cues.

Main Methods:

  • Mathematical analysis of a neural network model incorporating cooperative and competitive dynamics.

Related Experiment Videos

  • Application of equilibrium state and stability analysis techniques.
  • Parameter tuning to evaluate model performance in suppressing incorrect matches.

    • Main Results:

    • The stability analysis confirms the model's ability to function as intended.
    • Proof that correct parameter tuning leads to successful suppression of incorrect depth cues.
    • Demonstration of the model's effectiveness in overcoming the stereopsis matching problem.

    Conclusions:

    • The Cue Interaction Model, when correctly parameterized, reliably resolves the matching problem in stereopsis.
    • The model's cooperative and competitive mechanisms are key to its successful depth estimation.
    • This work validates the theoretical underpinnings of the Cue Interaction Model for artificial and biological vision systems.