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, Rémi Guillaume Petitpierre, Lucas Arnaud André Rappo

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

Ce que les machines ont vu et que nous ne savons pas encore

Frédéric Kaplan, Isabella Di Lenardo

Cet article conceptualise l’idée qu’il existe une « matière noire » composée des structurations latentes identifiées par le regard machinique sur de grandes collections photographiques patrimoniales. Les campagnes photographiques de l’histoire de l’art, au ...

2023

Recartographier l'espace napoléonien : Une lecture computationnelle du cadastre historique de Lausanne

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

Le cadastre napoléonien est une source historique relativement homogène et largement répandue. Cela rend une approche computationnelle particulièrement pertinente. Dans cette étude, nous proposons une méthode de reconnaissance et de vectorisation automatiq ...

2023

1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History

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

This historical dataset stems from the project of automatic extraction of 72 census records of Lausanne, Switzerland. The complete dataset covers a century of historical demography in Lausanne (1805-1898), which corresponds to 18,831 pages, and nearly 6 mi ...

Zenodo2023

The Skin of Venice: Automatic Facade Extraction from Point Clouds

Isabella Di Lenardo, Paul Robert Guhennec

We propose a method to extract orthogonal views of facades from photogrammetric models of cities. This method was applied to extract all facades of the city of Venice. The result images open up new areas of research in architectural history. ...

Zentrum für Informationsmodellierung - Austrian Centre for Digital Humanities, University of Graz2023

The Replica Project: Co-Designing a Discovery Engine for Digital Art History

Isabella Di Lenardo

This article explains how the Replica project is a particular case of different professionals coming together to achieve the digitization of a historical photographic archive, intersecting complementary knowledge specific to normally unconnected communitie ...

2022

A data structure for scientific models of historical cities: extending the CityJSON format

Isabella Di Lenardo, Paul Robert Guhennec, Beatrice Vaienti

In the field of the 3D reconstruction of cities in the past there is a raising interest in the creation of models that are not just geometrical, but also informative, semantic and georeferenced. Despite the advancements that were done in the historical rec ...

Association for Computing Machinery2022

Aux portes du monde miroir

Frédéric Kaplan, Isabella Di Lenardo

The Mirror World is no longer an imaginary device, a mirage in a distant future, it is a reality under construction. In Europe, Asia and on the American continent, large companies and the best universities are working to build the infrastructures, to defin ...

2021

Une approche computationnelle du cadastre napoléonien de Venise

Frédéric Kaplan, Raphaël Barman, Isabella Di Lenardo, Federica Pardini

At the beginning of the 19th century, the Napoleonic administration introduced a new standardised description system to give an objective account of the form and functions of the city of Venice. The cadastre, deployed on a European scale, was offering for ...

2021

Generic Semantic Segmentation of Historical Maps

Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre

Research in automatic map processing is largely focused on homogeneous corpora or even individual maps, leading to inflexible models. Based on two new corpora, the first one centered on maps of Paris and the second one gathering maps of cities from all ove ...

2021

The Advent of the 4D Mirror World

Frédéric Kaplan, Isabella Di Lenardo

The 4D Mirror World is considered to be the next planetary-scale information platform. This commentary gives an overview of the history of the converging trends that have progressively shaped this concept. It retraces how large-scale photographic surveys s ...

2020