Thermal-Polarimetric and Visible Data Collection for Face Recognition

Abstract

One of the less-explored topics in automated face recognition research is exploiting the thermal IR bands along with the visible band. One such application is matching a thermal face image with visible spectrum face images for interoperability with existing biometric face databases and watch lists. One of the challenges to this cross-modal matching is the substantial differences in thermal and visible face signatures due to phenomenology. In this data collection, we explore the use of a relatively new sensor for face recognition applications, a polarimetric IR imager. When processed, the data collected by this imager provide geometric face features that result in better cross-modal recognition performance than conventional IR data. This data collection also explores the effect of several independent factors on face recognition performance: 1) subject-to-sensor distance, 2) face aspect/pose angle, and 3) facial expressions.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1017076

Entities

People

  • Matthew D. Thielke
  • Patrick J. Rauss

Organizations

  • United States Army Research Laboratory

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Charge Coupled Devices
  • Data Acquisition
  • Data Analysis
  • Data Sets
  • Databases
  • Digital Data
  • Digital Images
  • Identification
  • Images
  • Information Science
  • Institutional Review Board
  • Measurement
  • Polarizers
  • Recognition
  • Visible Spectra
  • Waveplates

Fields of Study

  • Computer science

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.

Technology Areas

  • AI & ML