The ARCADIA project aims at using pattern recognition and machine learning to promote a
systematic analysis of the large corpus of archaeological pottery fragments excavated in …

In this paper, we addressed the problem faced by archaeologists in associating relief-printed
decorations on ceramic objects discovered during excavations carried out with the same …

Rapid progress in digitisation and computer techniques have enabled noteworthy new
pottery analysis applications in recent decades. We focus on analytical techniques directed …

In this paper, we discuss the problem of object detection in a cultural heritage application
context. In particular, the objects to be detected are ancient rock carvings, discovered at the …

Shape classification has long been a field of study in computer vision. In this work, we
propose an ensemble of approaches using the weighted sum rule that is based on a set of …

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 …

The ARCADIA project aims at develo** automatic image analysis and machine learning
methods to facilitate the interpretation and promotion of an archaeological ceramic heritage …

The visual ability of humans and other animals is the result of the complex interaction of
light, eyes and brain. We are unaware of how extremely complex is the shape analysis …

Traditional pottery identification methods are time consuming and costly. In order to cater to
more pottery industry needs, we propose a Mask R‐CNN‐based pottery identification …

An important feature of the Minoan culture is the pottery of Kamares style, that documents
the Cretan cultural production between the first half of the 2nd millennium BC. This high …