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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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Related Experiment Video

Updated: May 21, 2026

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

Gaze estimation interpolation methods based on binocular data.

Laura Sesma-Sanchez, Arantxa Villanueva, Rafael Cabeza

    IEEE Transactions on Bio-Medical Engineering
    |June 6, 2012
    PubMed
    Summary

    Binocular video oculography (VOG) gaze tracking improves accuracy and head movement tolerance. Using interglint distance as a normalization factor enhances performance in eye tracking systems.

    Area of Science:

    • Biomedical Engineering
    • Computer Vision
    • Human-Computer Interaction

    Background:

    • Video oculography (VOG) is a common nonintrusive technique for gaze tracking.
    • Enhancing eye tracking accuracy and head movement tolerance are key challenges in gaze tracking research.

    Purpose of the Study:

    • To investigate how binocular information improves gaze tracking accuracy and head movement tolerance.
    • To propose and evaluate new mapping features for pupil-glint vector normalization.

    Main Methods:

    • Analysis of interpolation-based methods with one and two infrared lights.
    • Development of new mapping features using pupil-glint vector with different normalization factors.
    • Experimental validation with six users on a VOG system and comparison with an eye simulator.

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    How to Build a Dichoptic Presentation System That Includes an Eye Tracker
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    How to Build a Dichoptic Presentation System That Includes an Eye Tracker

    Published on: September 6, 2017

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
    12:39

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

    Published on: January 18, 2020

    Related Experiment Videos

    Last Updated: May 21, 2026

    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

    How to Build a Dichoptic Presentation System That Includes an Eye Tracker
    05:48

    How to Build a Dichoptic Presentation System That Includes an Eye Tracker

    Published on: September 6, 2017

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
    12:39

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

    Published on: January 18, 2020

    Main Results:

    • The interglint distance was identified as a superior normalization factor.
    • Binocular gaze tracking systems demonstrated comparable or superior accuracy to monocular systems.
    • Specific configurations, equations, and mapping features were found to be advantageous.

    Conclusions:

    • Binocular information significantly enhances gaze tracking system performance.
    • The interglint distance normalization method offers improved accuracy and robustness.
    • The study provides valuable insights for optimizing VOG-based gaze tracking systems.