A Comparative Analysis of Face Recognition Performance With Visible and Thermal Infrared Imagery

Abstract

We present a comprehensive performance analysis of multiple appearance-based face recognition methodologies, on visible and thermal infrared imagery. We compare algorithms within and between modalities in terms of recognition performance, false alarm rates and requirements to achieve specified performance levels. The effect of illumination conditions on recognition performance is emphasized, as it underlines the relative advantage of radiometrically calibrated thermal imagery for face recognition.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA453159

Entities

People

  • Andrea Selinger
  • Diego A. Socolinsky

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Biometric Security
  • Calibration
  • Classification
  • Corporations
  • Data Science
  • Databases
  • Detectors
  • False Alarms
  • Identification
  • Information Science
  • Long-Wavelength Infrared Radiation
  • Recognition
  • Standards
  • Vector Spaces
  • Visible Spectra
  • Warning Systems

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML