Correction Techniques for Depth Errors with Stereo Three-Dimensional Graphic Displays.

Abstract

Three-dimensional (3-D), 'real-world' pictorial displays that incorporate 'true' depth cues via stereopsis techniques have proved effective for displaying complex information in a natural way to enhance situational awareness and to improve pilot/vehicle performance. In such displays, the display designer must map the depths in the real world to the depths available with the stereo display system. However, empirical data have shown that the human subject does not perceive the information at exactly the depth at which it is mathematically placed. Head movements can also seriously distort the depth information that is embedded in stereo 3-D displays because the transformations used in mapping the visual scene to the depth-viewing volume (DVV) depend intrinsically on the viewer location. The goal of this research has been to provide two correction techniques; the first technique corrects the original visual scene to the DDV mapping based on human perception errors, and the second (which is based on head-positioning sensor input data) corrects for errors induced by head movements. Empirical data are presented to validate both correction techniques. A combination of the two correction techniques effectively eliminates the distortions of depth information embedded in stereo 3-D displays.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1992
Accession Number
ADA257400

Entities

People

  • Anthony Holden
  • Russell V. Parrish
  • Steven P. Williams

Organizations

  • Langley Research Center

Tags

Communities of Interest

  • Biomedical
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Birds
  • Computer Graphics
  • Computer-Aided Design
  • Computers
  • Coordinate Systems
  • Display Systems
  • Distortion
  • Flight Crews
  • Graphics
  • Human-Machine Interaction
  • Perception
  • Pilots
  • Rods
  • Three Dimensional
  • Two Dimensional

Readers

  • Approximation Theory.
  • Computer Vision.
  • Human-Computer Interaction (HCI).