A Roman Carved Tale Modelled in 3D and Interpreted with AI

Abstract. This study proposes an innovative methodology for documenting and semantically analysing cultural heritage by integrating artificial intelligence (AI) with a photogrammetric 3D model. The case study is the Trajan’s Column in Rome, a monumental structure adorned with a continuous helical relief depicting Emperor Trajan’s Dacian campaigns. AI-driven semantic segmentation is used to identify key elements (such as human figures, battle scenes and natural motifs) within the digitised sculptural narrative. Starting from a high-resolution photogrammetric 3D model, the column’s texture is divided into multiple segments and a multimodal large language model (MLLM) is applied to produce context-aware segmentation masks via natural language prompts. Results are then projected onto the 3D geometry and visualised through a web-based 3D viewer.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2025-09-23
DOI
https://doi.org/10.5194/isprs-annals-x-m-2-2025-253-2025
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
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article

A Roman Carved Tale Modelled in 3D and Interpreted with AI

G. Mazzacca, Andrea Sterpin, Simone Rigon, Marco Medici et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Image Processing and 3D Reconstruction
article

A Roman Carved Tale Modelled in 3D and Interpreted with AI

G. Mazzacca, Andrea Sterpin, Simone Rigon, Marco Medici, Fabio Remondino
article en

Abstract

Abstract. This study proposes an innovative methodology for documenting and semantically analysing cultural heritage by integrating artificial intelligence (AI) with a photogrammetric 3D model. The case study is the Trajan’s Column in Rome, a monumental structure adorned with a continuous helical relief depicting Emperor Trajan’s Dacian campaigns. AI-driven semantic segmentation is used to identify key elements (such as human figures, battle scenes and natural motifs) within the digitised sculptural narrative. Starting from a high-resolution photogrammetric 3D model, the column’s texture is divided into multiple segments and a multimodal large language model (MLLM) is applied to produce context-aware segmentation masks via natural language prompts. Results are then projected onto the 3D geometry and visualised through a web-based 3D viewer.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-M-2-2025
University of Udine (IT), University of Ferrara (IT), Fondazione Bruno Kessler (IT)
Openalex Percentile: Top 74%
Image Processing and 3D Reconstruction
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