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

A weighted-average model of achromatic transparency.

S C Masin1

  • 1University of Udine, Italy.

Perception & Psychophysics
|June 1, 1991
PubMed
Summary

This study introduces a neural model for achromatic transparency, suggesting transparency perception relies on proximal contours. Findings show transparency judgments are independent of background reflectance, supporting the weighted-average model.

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

Psychophysics and quantitative perceptual laws.

The Behavioral and brain sciences·2014
Same author

Luminance determinants of perceived surface stratification in two-dimensional achromatic transparent patterns.

Perception·2000
Same author

Test of the validity of the judged sensory ratio of 1:2.

Perceptual and motor skills·2000
Same author

Petter's effect in patterns formed by outlined surfaces.

Perceptual and motor skills·2000
Same author

Test of Petter's rule for perceived surface stratification.

Perception·2000
Same author

Color scission and phenomenal transparency.

Perceptual and motor skills·2000

Area of Science:

  • Visual perception
  • Computational neuroscience
  • Psychophysics

Background:

  • Understanding achromatic transparency is crucial for visual processing.
  • Existing models often struggle to explain the perception of partial transparency.

Purpose of the Study:

  • To present a novel neural model for achromatic transparency.
  • To investigate the role of proximal contours in transparency perception.
  • To test a weighted-average model of transparency judgments.

Main Methods:

  • Developed a computational model of neural transparency representation.
  • Utilized bistable patterns with overlapping surfaces for partial transparency stimuli.
  • Conducted psychophysical experiments to rate perceived transparency degrees.

Main Results:

  • The weighted-average model accurately predicted transparency judgments.
  • Rated transparency degrees were noncomplementary and unaffected by background reflectance.
  • Proximal contours at the overlapping regions were identified as key for partial transparency perception.

Conclusions:

  • Neural representations activated by proximal contours underpin transparency perception.
  • The weighted-average model provides a robust framework for understanding achromatic transparency.
  • The model successfully explains judgments of partial transparency in complex visual scenes.

Related Experiment Videos