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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: Jul 6, 2026

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

Heads up and camera down: a vision-based tracking modality for mobile mixed reality.

Stephen DiVerdi1, Tobias Höllerer

  • 1Adobe Systems Inc., Santa Barbara, CA 93106-5110, USA. stephen.diverdi@gmail.com

IEEE Transactions on Visualization and Computer Graphics
|March 29, 2008
PubMed
Summary

The GroundCam offers a low-cost, easy-to-set-up tracking system for mixed reality (MR). A hybrid tracker combining GroundCam with wide area tracking enhances mobile MR applications.

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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

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Related Experiment Videos

Last Updated: Jul 6, 2026

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

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Robotics

Background:

  • Mixed reality (MR) research requires significant initial investment in time and money.
  • Bridging the gap between researchers and regular users is crucial for wider MR adoption.

Purpose of the Study:

  • Introduce a cost-effective and low-setup tracking system for mixed reality.
  • Develop a hybrid tracking solution for robust indoor/outdoor mobile MR.

Main Methods:

  • Designed and implemented the GroundCam, a novel, low-cost tracking modality.
  • Analyzed factors impacting GroundCam tracking accuracy.
  • Developed a hybrid tracker using a complementary Kalman filter to fuse GroundCam with wide area tracking.

Main Results:

  • GroundCam provides high-frequency, high-resolution relative position data with reduced drift compared to inertial navigation systems.
  • The hybrid tracker demonstrates powerful capabilities for indoor and outdoor mobile mixed reality work.

Conclusions:

  • The GroundCam significantly lowers the barrier to entry for mixed reality research and applications.
  • The hybrid tracker offers a versatile and effective solution for mobile mixed reality experiences.