As digital images play a vital role in multimedia content, the automatic classification of
images is an open research problem. The Bag of Visual Words (BoVW) model is used for …

Ancient numismatics, the study of ancient coins, has in recent years become an attractive
domain for the application of computer vision and machine learning. Though rich in research …

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 …

In this paper, we propose a novel approach for the image-based classification of ancient
coins by recognizing motifs minted on their reverse sides. Reverse motif recognition is …

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 …

In recent years, a range of problems within the broad umbrella of automatic, computer vision
based analysis of ancient coins has been attracting an increasing amount of attention …

Classification of ancient coins is a substantial part of numismatic research which needs a
large amount of expert knowledge due to the high number of classes to be considered. In …

In this paper, our goal is to perform a virtual restoration of an ancient coin from its image. The
present work is the first one to propose this problem, and it is motivated by two key promising …

Ancient coins are historical artefacts of great significance which attract the interest of
scholars, and a large and growing number of amateur collectors. Computer vision based …

In recent years, a range of problems under the broad umbrella of computer vision based
analysis of ancient coins have been attracting an increasing amount of attention …