RGB-D-T based Face Recognition

Olegs Nikisins, Kamal Nasrollahi, Modris Greitans, Thomas B. Moeslund

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

27 Citations (Scopus)
999 Downloads (Pure)

Abstract

Facial images are of critical importance in many real-world applications from gaming to surveillance. The current literature on facial image analysis, from face detection to face and facial expression recognition, are mainly performed in either RGB, Depth (D), or both of these modalities. But, such analyzes have rarely included Thermal (T) modality. This paper paves the way for performing such facial analyzes using synchronized RGB-D-T facial images by introducing a database of 51 persons including facial images of different rotations, illuminations, and expressions. Furthermore, a face recognition algorithm has been developed to use these images. The experimental results show that face recognition using such three modalities provides better results compared to face recognition in any of such modalities in most of the cases.
Original languageEnglish
Title of host publicationProceedings 22nd International Conference on Pattern Recognition, ICPR 2014
Place of PublicationSweden
PublisherIEEE Computer Society Press
Publication date24 Aug 2014
Pages1716 - 1721
ISBN (Print)978-1-4799-5208-3
DOIs
Publication statusPublished - 24 Aug 2014
EventICPR 2014: International Conference on Pattern Recognition 2014 - Stockholm, Sweden
Duration: 24 Aug 201428 Aug 2014

Conference

ConferenceICPR 2014
Country/TerritorySweden
CityStockholm
Period24/08/201428/08/2014
SeriesInternational Conference on Pattern Recognition
ISSN1051-4651

Keywords

  • RGB
  • Depth
  • Thermal
  • Facial Images
  • Database

Fingerprint

Dive into the research topics of 'RGB-D-T based Face Recognition'. Together they form a unique fingerprint.

Cite this