Thermal Face Recognition Over Time

Abstract

We present a comparative study of face recognition performance with visible and thermal infrared imagery, emphasizing the influence of time-lapse between enrollment and testing images. Most previous research in this area, with few exceptions, focused on results obtained when enrollment and testing images were acquired in the same session. We show that the performance difference between visible and thermal recognition in a time-lapse scenario is smaller than previously believed, and in fact is not statistically significant to existing data sets.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA444423

Entities

People

  • Andrea Selinger
  • Diego A. Socolinsky

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Blood Flow
  • Body Temperature
  • Climate Change
  • Corporations
  • Data Sets
  • Emission
  • Identification
  • Illumination
  • Image Processing
  • Images
  • Information Operations
  • Infrared Detectors
  • New York
  • Recognition
  • Standards
  • Surface Temperature

Readers

  • Clinical Trial Research.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML