Issues for Data Reduction of Dense Three-Dimensional Data

Abstract

Acquiring a large quantity of three-dimensional data has become commonplace with the advent of new technologies. Reducing the number of data points improves processing speed and storage requirements. Astute data reduction requires an understanding of the correlation between data measures and geometric measures. These relationships are dependent upon the data reduction algorithm used. This paper investigates these relationships for a small number of data reduction algorithms. A framework is presented for tracking these changes and for assisting a user in identifying the most appropriate data reduction method for their application.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA389121

Entities

People

  • David M. Hoeferlin
  • Dennis B. Burnsides
  • Jennifer Whitestone
  • Joseph H. Nurre

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computers
  • Curvature
  • Data Reduction
  • Engineering
  • Geometry
  • Government Procurement
  • Governments
  • Graphical User Interface
  • Human Factors Engineering
  • Measurement
  • Military Research
  • Technical Information Centers
  • Three Dimensional
  • User Interface

Readers

  • Approximation Theory.
  • Database Systems and Applications
  • Economics