paper-with-me

홈 › Papers

Multispectral 3D mapping on a Roman sculpture to study ancient polychromy

2025-01-30 · Francesca Uccheddu, Umair Shafqat Malik, Emanuela Massa, Anna Pelagotti, Maria Emilia Masci, Gabriele Guidi

Research into the polychromy of Greek and Roman sculptures has surged to explore the hypothesis that ancient sculptures were originally not pristine white but adorned with colors. Multispectral and multimodal imaging techniques have been crucial in studying painted surfaces, revealing polychromies even in traces. In fact, imaging techniques, such as reflectance and fluorescence, can identify different materials and map inhomogeneities, guiding further investigations such as Raman, XRays Fluorescence, and Fourier Transform InfraRed Spectroscopy (FTIR) to investigate residual colors. However, this approach may underestimate the original polychromies' extent over the complex articulation of a sculptured surface. This study proposes a methodology to analyze the original appearance of ancient sculptures using reality-based 3D models with textures not limited to those visible to the naked eye. We employ Visible Reflected Imaging (VIS) and Ultraviolet-induced Fluorescence Imaging (UVF). From the UVF and VIS datasets, the underlying 3D model is built by means of photogrammetry. Through raw data processing, images taken with different illuminating sources are successfully aligned and processed, creating a single 3D model with multiple textures mapped onto the same bi-dimensional space. The pixel-to-pixel correspondence of different textures allows for the implementation of a classification algorithm that can directly map its outcome onto the 3D model surface. This enables conservators to deepen their understanding of artifact preservation, observe mate-rial distribution in detail, and correlate this with 3D geometrical data. In this study, we experiment with this approach on an ancient Roman sculpture of Artemis, conserved at the Archeological and Art Museum of Maremma (MAAM) in Grosseto, Italy.

📄 PDF Abstract BibTeX arXiv:2501.18786

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks

2015-06-30 · Jongpil Kim, Vladimir Pavlovic

In this paper, we propose a novel method to find characteristic landmarks on ancient Roman imperial coins using deep convolutional neural network models (CNNs). We formulate an optimization problem to discover class-spec…

General Classification

Reading Legends on Ancient Coins: An Object Detection Approach for Character Recognition on a Novel Roman Republican Dataset

2026-07-28 · Hafeez Anwar arxiv

When it comes to the proper classification of ancient coins with respect to their time and issuer, the textual inscriptions on these coins, also known as legends, are of paramount importance. These legends consist of alp…

Object Detection

Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics

2021-12-01 · Andreas Heinecke, Emanuel Mayer, Abhinav Natarajan, Yoonju Jung

Die analysis is an essential numismatic method, and an important tool of ancient economic history. Yet, manual die studies are too labor-intensive to comprehensively study large coinages such as those of the Roman Empire…

Clustering

Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention

2019-08-26 · Hafeez Anwar, Saeed Anwar, Sebastian Zambanini, Fatih Porikli

We perform the classification of ancient Roman Republican coins via recognizing their reverse motifs where various objects, faces, scenes, animals, and buildings are minted along with legends. Most of these coins are ero…

ClassificationGeneral Classification

From the historical Roman road network to modern infrastructure in Italy

2022-08-13 · Luca De Benedictis, Vania Licio, Anna Pinna

An integrated and widespread road system, like the one built during the Roman Empire in Italy, plays an important role today in facilitating the construction of new infrastructure. This paper investigates the historical …