Accession Number:

ADA243699

Title:

Feature Extraction for Pose Estimation. A Comparison Between Synthetic and Real IR Imagery

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1991-12-01

Pagination or Media Count:

176.0

Abstract:

This research addressed the problem of pose estimation of three- dimensional objects given their two-dimensional IR imagery and corresponding synthetic computer-generated IR imagery. Features and techniques were investigated to find those which may be extendable from computer models to real- world IR imagery. GTSIG and SCNGEN were used to create the synthetic imagery. Silhouette and outline shape moments were explored as optimum features for the comparison. Employing back-propagation with momentum as the training paradigm, a two-hidden-layer neural network was able to determine the base-plane orientation of the synthetic imagery to within 7.5 degrees with better than 90 accuracy. No conclusive results were obtained from comparison with real-world IR imagery. Additionally, the use of object hot spots relative to object height-to-width ratio is briefly discussed as an alternative featuretechnique. Author

Subject Categories:

  • Cybernetics
  • Infrared Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE