Application of multi-modal 2D and 3D imaging and analytical techniques to document and examine coins on the example of two Roman silver denarii
This case study is applying imaging and analytical techniques from multiple scientific
disciplines to digitise coins and evaluate 3D multi-modal visualisation. Two ancient Roman …
disciplines to digitise coins and evaluate 3D multi-modal visualisation. Two ancient Roman …
Deep ancient Roman Republican coin classification via feature fusion and attention
We perform the classification of ancient Roman Republican coins via recognizing their
reverse motifs where various objects, faces, scenes, animals, and buildings are minted …
reverse motifs where various objects, faces, scenes, animals, and buildings are minted …
Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games
In this work we tackle the problem of automatic recognition of ancient coin types using a
semisupervised learning method, namely Graph Transduction Games. Such problem is …
semisupervised learning method, namely Graph Transduction Games. Such problem is …
Images of Roman imperial denarii: A curated data set for the evaluation of computer vision algorithms applied to ancient numismatics, and an overview of challenges …
O Arandjelović, M Zachariou - Sci, 2020 - mdpi.com
Automatic ancient Roman coin analysis only recently emerged as a topic of computer
science research. Nevertheless, owing to its ever-increasing popularity, the field is already …
science research. Nevertheless, owing to its ever-increasing popularity, the field is already …
Ancient coin classification using reverse motif recognition: Image-based classification of roman republican coins
We propose a holistic system to classify ancient Roman Republican coins based on their
reverse-side motifs. The bag-of-visual-words (BoW) model is enriched with spatial …
reverse-side motifs. The bag-of-visual-words (BoW) model is enriched with spatial …
A deep learning approach to classify country and value of modern coins
Abstract The use of Artificial Intelligence (AI) to preserve and promote cultural heritage has
experienced significant growth in recent years. Among the various areas of cultural heritage …
experienced significant growth in recent years. Among the various areas of cultural heritage …
Low-complexity arrays of patch signature for efficient ancient coin retrieval
F Lardeux, P Gomez-Krämer, S Marchand - Pattern Analysis and …, 2024 - Springer
We present a new recognition framework for ancient coins struck from the same die. It is
called Low-complexity Arrays of Patch Signatures. To overcome the problem of illumination …
called Low-complexity Arrays of Patch Signatures. To overcome the problem of illumination …
[PDF][PDF] Ancient coin classification based on recent trends of deep learning.
Automatic ancient coin classification based on pattern recognition is an open research
problem. Ancient coins have significant value in cultural heritage and the originality of coins …
problem. Ancient coins have significant value in cultural heritage and the originality of coins …
Towards Low-Cost Classification for Novel Fine-Grained Datasets
Fine-grained categorization is an essential field in classification, a subfield of object
recognition that aims to differentiate subordinate classes. Fine-grained image classification …
recognition that aims to differentiate subordinate classes. Fine-grained image classification …
Automatic classification of ceramic sherds with relief motifs
T Debroutelle, S Treuillet, A Chetouani… - Journal of …, 2017 - spiedigitallibrary.org
A large corpus of ceramic sherds dating from the High Middle Ages has been extracted in
Saran (France). The sherds have an engraved frieze made by the potter with a carved …
Saran (France). The sherds have an engraved frieze made by the potter with a carved …