Abstract
Bad lighting was one of the difficulties that facial-recognition systems had to overcome as the large intra-class variations due to pose, lighting, and expressions. Recently, there are many works using thermal cameras in face recognition systems. This paper recommends a thermal face recognition method based on texture analyses in a complex database including different poses and expressions. Three different texture analyses methods are compared in this problem. Due to the pose variations in the database Scale Invariant Feature Transform algorithm is more successful to other methods explained in the paper.
Keywords
Texture (cosmology)
Face (sociological concept)
Facial recognition system
Pattern recognition (psychology)
Artificial intelligence
Computer science
Computer vision
Image (mathematics)
Subject Areas
Face recognition and analysis
·Computer Vision and Pattern Recognition ·Physical Sciences
Gait Recognition and Analysis
·Biomedical Engineering ·Physical Sciences
Face and Expression Recognition
·Computer Vision and Pattern Recognition ·Physical Sciences
Citations by Year
2016: 1
2018: 1
OpenAlex SDG Match
SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).
Gender equality 78%
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