Estimating and Adapting to Registration Errors in Augmented Reality Systems

Abstract

All augmented reality (AR) systems must deal with registration errors. While most AR systems attempt to minimize registration errors through careful calibration, registration errors can never be completely eliminated in any realistic system. In this paper, we describe a robust and efficient statistical method for estimating registration errors. Our method generates probabilistic error estimates for points in the world, in either 3D world coordinates or 2D screen coordinates. We present a number of examples illustrating how registration error estimates can be used in AR interfaces, and describe a method for estimating registration errors of objects based on the expansion and contraction of their 2D convex hulls.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA500367

Entities

People

  • Blair Macintyre
  • Simon J. Julier

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Augmented Reality
  • Boundaries
  • Cartesian Coordinates
  • Circuit Boards
  • Computers
  • Coordinate Systems
  • Covariance
  • Graphics
  • Kalman Filters
  • Probability
  • Probability Distributions
  • Random Variables
  • Time Intervals
  • Virtual Reality
  • Wearable Computers

Readers

  • Computer Vision.
  • Regression Analysis.