TY - JOUR N2 - Development of facial recognition or expression recognition algorithms requires input data to thoroughly test the performance of algorithms in various conditions. Researchers are developing various methods to face challenges like illumination, pose and expression changes, as well as facial disguises. In this paper, we propose and establish a dataset of thermal facial images, which contains a set of neutral images in various poses as well as a set of facial images with different posed expressions collected with a thermal infrared camera. Since the properties of face in the thermal domain strongly depend on time, in order to show the impact of aging, collection of the dataset has been repeated and a corresponding set of data is provided. The paper describes the measurement methodology and database structure. We present baseline results of processing using state-of-the-art facial descriptors combined with distance metrics for thermal face reidentification. Three selected local descriptors, a histogram of oriented gradients, local binary patterns and local derivative patterns are used for elementary assessment of the database. The dataset offers a wide range of capabilities – from thermal face recognition to thermal expression recognition. L1 - http://www.czasopisma.pan.pl/Content/104032/PDF/art11.pdf L2 - http://www.czasopisma.pan.pl/Content/104032 PY - 2018 IS - No 2 DO - 10.24425/119566 KW - face database KW - biometrics KW - thermal face recognition KW - infrared KW - face re-identification A1 - Kowalski, Marcin A1 - Grudzień, Artur PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation VL - vol. 25 DA - 2018.06.15 T1 - High-resolution thermal face dataset for face and expression recognition UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/104032 T2 - Metrology and Measurement Systems ER -