Estimating Anthropometric Marker Locations from 3-D LADAR Point Clouds

Abstract

An area of interest for improving the identification portion of the system is in extracting anthropometric markers from a Laser Detection and Ranging (LADAR) point cloud. Analyzing anthropometrics markers is a common means of studying how a human moves and has been shown to provide good results in determining certain demographic information about the subject. This research examines a marker extraction method utilizing principal component analysis (PCA), self-organizing maps (SOM), alpha hulls, and basic anthropometric knowledge. The performance of the extraction algorithm is tested by performing gender classification with the calculated markers.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA545754

Entities

People

  • Matthew J. Maier

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Computer Graphics
  • Computer Vision
  • Coordinate Systems
  • Data Mining
  • Data Science
  • Databases
  • Demography
  • Detection
  • Detectors
  • Dimensionality Reduction
  • Information Processing
  • Information Science
  • Joints (Anatomy)
  • Network Science
  • Pattern Recognition
  • United States

Readers

  • Gender and Food Studies
  • Neural Network Machine Learning.
  • Radar Systems Engineering.

Technology Areas

  • Directed Energy