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 Concept Videos

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...

You might also read

Related Articles

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

Sort by
Same author

The Coupling of Ferroelectric Polarization and Oxygen Vacancy Migration Enables Electrically Controlled Thermal Memories.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Interfacial Thermal Resistive Switching in (Pt,Cr)/SrTiO<sub>3</sub> Devices.

ACS applied materials & interfaces·2024
Same author

Annealing effects on the magnetic and magnetotransport properties of iron oxide nanoparticles self-assemblies.

Nanotechnology·2023
Same author

Light-induced bi-directional switching of thermal conductivity in azobenzene-doped liquid crystal mesophases.

Journal of materials chemistry. C·2023
Same author

COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and black-box optimization techniques.

Computer methods and programs in biomedicine·2021
Same author

Robust and Fast Scene Recognition in Robotics Through the Automatic Identification of Meaningful Images.

Sensors (Basel, Switzerland)·2019

Related Experiment Video

Updated: May 21, 2026

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

On the relationship between optical variability, visual saliency, and eye fixations: a computational approach.

Antón Garcia-Diaz1, Víctor Leborán, Xosé R Fdez-Vidal

  • 1Computer Vision Group, University of Santiago de Compostela, Galicia, Spain. anton.garcia@usc.es

Journal of Vision
|June 14, 2012
PubMed
Summary

This study introduces a new definition of optical variability, linking physical properties to visual saliency. This framework simplifies interpretations and explains visual system adaptations, reducing semantic influences in image perception.

More Related Videos

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Related Experiment Videos

Last Updated: May 21, 2026

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Area of Science:

  • Visual perception
  • Computational neuroscience
  • Image processing

Background:

  • Current models of visual saliency lack a unified framework linking physical properties to perception.
  • The efficient coding hypothesis provides a foundation for understanding visual system efficiency.
  • Contextual adaptation mechanisms in the visual system aim to maintain consistent behavioral responses.

Purpose of the Study:

  • To propose a hierarchical definition of optical variability grounded in the efficient coding hypothesis.
  • To investigate the role of contextual adaptation in ensuring behavioral invariance.
  • To test the proposed framework against human eye-tracking data and novel hyperspectral imaging experiments.

Main Methods:

  • Developed a hierarchical definition of optical variability connecting physical magnitudes to visual saliency.
  • Compared the proposed model with human fixation data across three eye-tracking datasets, including face-specific images.
  • Utilized hyperspectral representations of surface reflectance in a novel experiment.
  • Evaluated the model's ability to explain a visual illusion without eye movements.

Main Results:

  • The proposed definition offers a more reductionist interpretation of optical variability compared to existing methods.
  • Results on face images showed a significant decrease in the influence of semantic factors.
  • Hyperspectral image analysis supported the assumptions for estimating optical variability.
  • The model successfully explained quantitative findings related to a visual illusion.

Conclusions:

  • The hierarchical definition of optical variability provides a robust and parsimonious framework for understanding visual perception.
  • Contextual adaptation mechanisms are crucial for maintaining stable behavioral responses to visual input.
  • The findings suggest a reduced role for semantic influences in saliency, particularly in complex image datasets.