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 …

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 …

In this paper, we build upon the idea of using robust dense correspondence estimation for
exemplar-based image classification and adapt it to the problem of ancient coin …

Traditionally, duplicating handmade artefacts was done primarily by moulds. To obtain
multiples of the casts, the artisan laid out a layer of clay over the mould and pressed on it …

This paper presents the architecture of a holonic multi-agent system for rock art
interpretation and discusses the results achieved within the “Indiana MAS” project. We show …

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 …

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 …

This paper presents the first results achieved within the Indiana MAS project funded by
Italian Ministry for Education, University and Research, MIUR. We discuss how the …

Coin detection and recognition applications play an important role in computer vision and in
industry. Many applications have been developed to detect coins and estimate its …

Recognizing the type of an ancient coin requires theoretical expertise and years of
experience in the field of numismatics. Our goal in this work is automatizing this time …