Information Filtering for Mobile Augmented Reality

Abstract

Augmented reality is a potentially powerful paradigm for annotating the environment with computer-generated material. These benefits will be even greater when augmented reality systems become mobile and wearable. However, to minimize the problem of clutter and maximize the effectiveness of the display, algorithms must be developed to select only the most important information for the user. In this paper we describe a region-based information filtering algorithm. The algorithm takes account of the state of the user (location and intent) and the state of individual objects about which information can be presented. It can dynamically respond to changes in the environment and the user's state. We also describe how simple temporal, distance and angle cues can be used to refine the transitions between different information sets.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2000
Accession Number
ADA606483

Entities

People

  • Lawrence Rosenblum
  • Marco Lanzagorta
  • Sabrina Sestito
  • Simon J Julier
  • Steven K. Feiner
  • Tobias Hollerer
  • Yohan Baillot

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Army Training
  • Augmented Reality
  • Computer Science
  • Computers
  • Data Displays
  • Display Systems
  • Environment
  • Filtration
  • Graphics
  • Military Research
  • Mobile Devices
  • Physical Properties
  • Virtual Reality
  • Wearable Computers
  • Wearable Technology
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Distributed Systems and Data Platform Development
  • Strategic Security Studies