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Abstract
The aim of this study is to analyse the methods of detecting characteristic points of the face in thermographic images. As part of the implementation an extensive analysis of scientific publications covering similar issues both for the analysis of images made in visible light and thermographic images was carried out. On the basis of this analysis, 3 models were selected and then they were implemented and tested on the basis of test images. Finally, two models were selected, the operation of which was documented on thermographic images - DAN and AAM, as well as one model that was tested for RGB images - the ERT model. Satisfactory detection parameters were achieved in the experiment.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Kaczmarek M., Guzik J.: The use of machine learning for face regions detection in thermograms// / : , 2022,
- DOI:
- Digital Object Identifier (open in new tab) 10.1038/nphys1170
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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