Publications de Isabella Di Lenardo

London 1890s Ordnance Survey Text Layer

Isabella Di Lenardo, Rémi Guillaume Petitpierre

This dataset contains a sample of 10,000 (3.5%) out of a total of 285,846 text sequences extracted from the 1891–1896 Map of London by the Ordnance Survey (OS). The methodology used for the automated recognition, linking, and sequencing of the text is deta ...

Zenodo2025

Paris and Jerusalem Maps Text Dataset

Isabella Di Lenardo, Rémi Guillaume Petitpierre, Beatrice Vaienti

This dataset contains 82 annotated map samples from diverse historical city maps of Jerusalem and Paris, suitable for map text detection, recognition, and sequencing. ...

Zenodo2025

Segmentation and Clustering of Local Planimetric Distortion Patterns in Historical Maps of Jerusalem

Frédéric Kaplan, Isabella Di Lenardo, Beatrice Vaienti

The advancement of computational tools for cartometric analysis has opened new avenues for the identification and understanding of stemmatic relationships between historical maps through the analysis of their planimetric distortions. The 19th-century Weste ...

MDPI AG2025

Reconstructing Saint Mark’s Square in Venice: A 4D Model with Point Cloud Integration for Analyzing Historiographical Hypotheses

Frédéric Kaplan, Isabella Di Lenardo, Paul Robert Guhennec, Beatrice Vaienti

This study explores the 4D reconstruction of part of the monumental heritage of St. Mark’s Square in Venice, contextualizing the modeling of its evolution in the broader field of digital historiography. The presented methodology is based on comparing the p ...

MDPI AG2025

Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe

Isabella Di Lenardo

Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It supports the planning and preservation of heritage sites and cities, enables the creation of virtual experiences to enrich cultural tourism and engagement, suppo ...

2024

Exploring cartographic genealogies through deformation analysis: case studies on ancient maps and synthetic data

Frédéric Kaplan, Isabella Di Lenardo, Beatrice Vaienti

This paper presents a new methodology for identifying copying relationships in maps through cartographic deformation analysis, and introduces a novel approach for the creation of synthetic datasets for evaluation. Challenging traditional approaches that co ...

Informa UK Limited2024

Tracing Cartographic Errors in the Western Representation of 19th Century Jerusalem

Frédéric Kaplan, Isabella Di Lenardo, Beatrice Vaienti

DH2024 Program Committee Chairs and Local Organizer Committee2024

Revealing the Structure of Land Ownership through the Automatic Vectorisation of Swiss Cadastral Plans

Isabella Di Lenardo, Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre

This paper explores how the dynamics and structure of land ownership can be studied by automating the vectorisation of historical cadastral sources. Our analysis focuses mainly on three cadastres of Lausanne (1722, 1831, 1883). The plans are first georefer ...

2024

A fragment-based approach for computing the long-term visual evolution of historical maps

Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre

Cartography, as a strategic technology, is a historical marker. Maps are tightly connected to the cultural construction of the environment. The increasing availability of digital collections of historical map images provides an unprecedented opportunity to ...

Springernature2024

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre, Beatrice Vaienti

The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

2023