University of Twente Student Theses
Recognizing Roman Emperors By Hair Using Several Machine Learning Methods
Lettinga, P.E. (2022) Recognizing Roman Emperors By Hair Using Several Machine Learning Methods.
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| Abstract: | Paintings and sculptures of the ruler were everywhere in the Roman Empire. Many of these works have survived until today and are being identified manually by experts. Research into facial recognition of these emperors is quite effective but struggles with missing facial parts. As parts of the hair have higher survival rates, this paper looks into the recognition of Roman emperors by hair. Images of emperors are reduced to blocks of hair from which several features are extracted. These features are then used to compare several classification methods. These experiments showed the extracted features contain some information to identify the emperors, but more research should be done before recognition of Roman emperors by hair becomes viable. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Programme: | Electrical Engineering BSc (56953) |
| Link to this item: | https://purl.utwente.nl/essays/93724 |
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