Face Verification in Practice: The Case of Greek Artist Leonidas Arniotis
| Autor: | Nicolas Tsapatsoulis, Katerina Diakoumopoulou |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer and Information Sciences
Matching (graph theory) Computer science business.industry Deep learning Low resolution Machine learning computer.software_genre Facial recognition system Transfer learning Face verification Artificial intelligence Graph matching Transfer of learning business Natural Sciences computer |
| Zdroj: | Computer Analysis of Images and Patterns ISBN: 9783030891305 CAIP (2) |
| Popis: | In this paper we investigate a specific case of face verification: Given some confirmed photos and video frames of Leonidas Arniotis, a Greek artist of late 1800 and early 1900s, we have examined two photos, of very low resolution, of an unknown person that could be Leonidas Arniotis. The widespread of deep learning and the availability of ResNet-50 model, which was trained on VGGFace2 dataset, allowed us to apply transfer learning for face verification purposes. At the same time an alternative technique which is based on facial points matching was applied. The main aim of the paper is to show that despite the progress made in the fields of face recognition and face verification, actual systems that can be used by non-experts for examining real world cases, like the one we deal in the current paper, remain impractical. In the framework of the current work, we also examine and discuss, in a critical way, the effectiveness of transfer learning for real face verification cases through specific examples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|