@inproceedings{344ad8e0e6ce4a009582901070842540,
title = "RGB-D-T based Face Recognition",
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.",
keywords = "RGB, Depth, Thermal, Facial Images, Database",
author = "Olegs Nikisins and Kamal Nasrollahi and Modris Greitans and Moeslund, {Thomas B.}",
year = "2014",
month = aug,
day = "24",
doi = "10.1109/ICPR.2014.302",
language = "English",
isbn = "978-1-4799-5208-3",
series = "International Conference on Pattern Recognition",
publisher = "IEEE Computer Society Press",
pages = "1716 -- 1721 ",
booktitle = "Proceedings 22nd International Conference on Pattern Recognition, ICPR 2014",
address = "United States",
note = "ICPR 2014 : International Conference on Pattern Recognition 2014 ; Conference date: 24-08-2014 Through 28-08-2014",
}