A comparison of thermal image descriptors for face analysis

Ricardo Carrapico, André Mourão, João Magalhães, Sofia Cavaco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Thermal imaging is a type of imaging that uses thermographic cameras to detect radiation in the infrared range of the electromagnetic spectrum. Thermal images are particularly well suited for face detection and recognition because of the low sensitivity to illumination changes, color skins, beards and other artifacts. In this paper, we take a fresh look at the problem of face analysis in the thermal domain. We consider several thermal image descriptors and assess their performance in two popular tasks: face recognition and facial expression recognition. The results have shown that face recognition can reach accuracy levels of 91% with Localized Binary Patterns, Also, despite the difficulty of facial expression detection, our experiments have revealed that Haar based features (FCTH - Fuzzy Color and Texture Histogram) offers the best results for some facial expressions.
Original languageEnglish
Title of host publication23rd European Signal Processing Conference, EUSIPCO 2015
Pages829-833
Number of pages5
ISBN (Electronic)978-0-9928-6263-3
DOIs
Publication statusPublished - 2015
Event23rd European Signal Processing Conference (EUSIPCO) - Nice Congress CenterNice, France
Duration: 31 Aug 20154 Sep 2015

Conference

Conference23rd European Signal Processing Conference (EUSIPCO)
CountryFrance
Period31/08/154/09/15

Keywords

  • Electromagnetic spectra
  • Face detection and recognition
  • Facial expression detections
  • Facial expression recognition
  • Image descriptors
  • Thermal images
  • Thermographic cameras

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  • Cite this

    Carrapico, R., Mourão, A., Magalhães, J., & Cavaco, S. (2015). A comparison of thermal image descriptors for face analysis. In 23rd European Signal Processing Conference, EUSIPCO 2015 (pp. 829-833) https://doi.org/10.1109/EUSIPCO.2015.7362499