Identification of Three-Dimensional Objects Using Fourier Descriptors of the Boundary Curve,

Abstract

The paper demonstrates the feasibility of a method for identification of a three-dimensional object from information contained in the boundary of its silhouettes. A silhouette is characterized by parametric representation of its boundary curve in the complex plane. After normalization and transformation, a set of Fourier descriptors is derived for every silhouette. A minimum distance classifier uses the descriptors to identify the three-dimensional object and to estimate its position and attitude with respect to a known reference coordinate system. The method was tested for identification of four aircraft representing complex and non-convex objects. Simulation results, quantitative and statistical, are presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1972
Accession Number
AD0758895

Entities

People

  • C. W. Richard Jr.
  • H. Hemami

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Boundaries
  • Computers
  • Coordinate Systems
  • Identification
  • Image Processing
  • Information Processing
  • Machine Learning
  • Missouri
  • Recognition
  • Signal Processing
  • Silhouettes
  • Simulations
  • Simulators
  • Three Dimensional

Readers

  • Approximation Theory.
  • Fluid Dynamics.
  • Neural Network Machine Learning.