TY - CONF
TI - Face Verification in Practice: The Case of Greek Artist Leonidas Arniotis
AU - Nicolas Tsapatsoulis, Katerina Diakoumopoulou
PY - 2021
SP - 131-139
PB - Springer, Cham
T2 - International Conference on Computer Analysis of Images and Patterns
TODO - https://doi.org/10.1007/978-3-030-89131-2_12
TODO - Leonidas Arniotis, face verification, deep learning, transfer learning, graph matching
TODO - 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 1900’s, 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 ResNet50 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.
ER -