Effects of Eye Position on Eigenface-Based Face Recognition Scoring

Abstract

Eigenface-based facial recognition systems rely heavily on predetermined eye locations to properly orient the input face prior to template generation. Gross errors in the eye detection process can be identified by examining the reconstruction image of the resulting eigenspace representation. Subtle variation in the precision of eye finding that does not prevent subsequent enrollment has not been effectively studied or reported by the biometrics testing community. We quantify the impact of eye locations on face recognition match scores for identical subject images. The scores are analyzed to better understand the consequences and sensitivity of eye finding for more general applications when eye locations must be determined automatically.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2003
Accession Number
AD1125130

Entities

People

  • Alan T. Piszcz
  • Joe Marques
  • Nicholas M. Orlans

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Automatic
  • Computers
  • Corporations
  • Databases
  • Detection
  • Errors
  • Facial Recognition
  • Hard Copy
  • Identification
  • Neural Networks
  • Operating Systems
  • Recognition
  • Reliability
  • Software Development
  • Spreadsheet Software
  • Standards
  • Symmetry
  • Test And Evaluation

Readers

  • Computer Vision.
  • Neurotrauma and Rehabilitation Medicine.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference