@InProceedings{7362499,
  author = {R. Carrapico and A. Mourão and J. Magalhães and S. Cavaco},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {A comparison of thermal image descriptors for face analysis},
  year = {2015},
  pages = {829-833},
  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.},
  keywords = {emotion recognition;face recognition;image colour analysis;image texture;infrared imaging;fuzzy color-texture histogram;FCTH;Haar-based features;localized binary patterns;facial expression recognition;thermal domain;color skins;illumination changes;face recognition;face detection;electromagnetic spectrum;infrared range;radiation detection;thermographic cameras;thermal imaging;face analysis;thermal image descriptors;Face recognition;Face;Image color analysis;Feature extraction;Histograms;Image recognition;Lighting;Thermal images;face recognition;facial expressions;image descriptors},
  doi = {10.1109/EUSIPCO.2015.7362499},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570103673.pdf},
}

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