Illumination Invariant Face Recognition Using Thermal Infrared Imagery

Abstract

A key problem for face recognition has been accurate identification under variable illumination conditions. Conventional video cameras sense reflected light so that image gray values are a product of both intrinsic skin reflectivity and external incident illumination, thus obfuscating the intrinsic reflectivity of skin. Thermal emission from skin, on the other hand, is an intrinsic measurement that can be isolated from external illumination. We examine the invariance of Long-Wave InfraRed (LWIR) imagery with respect to different illumination conditions from the viewpoint of performance comparisons of two well-known face recognition algorithms applied to LWIR and visible imagery. We develop rigorous data collection protocols that formalize face recognition analysis for computer vision in the thermal IR.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA444367

Entities

People

  • Christopher K. Eveland
  • Diego A. Socolinsky
  • Joshua D. Neuheisel
  • Lawrence B. Wolff

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Biometric Security
  • Calibration
  • Databases
  • Detection
  • Detectors
  • Focal Plane Arrays
  • Focal Planes
  • Identification
  • Identification Systems
  • Illumination
  • Images
  • Infrared Detectors
  • Pattern Recognition
  • Recognition
  • Standards
  • Training

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Spectroscopy.

Technology Areas

  • AI & ML