Publications by Isabella Di Lenardo

Related publications (33)

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

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

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

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

Big Data of the Past

Frédéric Kaplan, Isabella Di Lenardo

Big Data is not a new phenomenon. History is punctuated by regimes of data acceleration, characterized by feelings of information overload accompanied by periods of social transformation and the invention of new technologies. During these moments, private ...

2017

Digital Cultural Heritage meets Digital Humanities

Isabella Di Lenardo

Digital Cultural Heritage and Digital Humanities are, historically seen, in focus of different communities as well as approaching different research topics and - from an organizational point of view - departments. However, are they that different? The idea ...

INTL SOC PHOTOGRAMMETRY & REMOTE SENSING-ISPRS2019

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

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

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

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

Une approche computationnelle du cadastre napoléonien de Venise

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

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

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

Venice Time Machine : Recreating the density of the past

Frédéric Kaplan, Isabella Di Lenardo

This article discusses the methodology used in the Venice Time Machine project (http://vtm.epfl.ch) to reconstruct a historical geographical information system covering the social and urban evolution of Venice over a period of 1,000 years. Given the time s ...

2015

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

New Techniques for the Digitization of Art Historical Photographic Archives - the Case of the Cini Foundation in Venice

Frédéric Kaplan, Isabella Di Lenardo, Benoît Laurent Auguste Seguin

Numerous libraries and museums hold large art historical photographic collections, numbering millions of images. Because of their non-standard format, these collections pose special challenges for digitization. This paper address these difficulties by prop ...

2018

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

A deep learning approach to Cadastral Computing

Bastien Solal Emile Tourenc, Frédéric Kaplan, Isabella Di Lenardo, Sofia Ares Oliveira

This article presents a fully automatic pipeline to transform the Napoleonic Cadastres into an information system. The cadastres established during the first years of the 19th century cover a large part of Europe. For many cities they give one of the first ...

2019

Machine Vision Algorithms on Cadaster Plans

Frédéric Kaplan, Isabella Di Lenardo, Sofia Ares Oliveira

Cadaster plans are cornerstones for reconstructing dense representations of the history of the city. They provide information about the city urban shape, enabling to reconstruct footprints of most important urban components as well as information about the ...

2017

"Een Italische Keucken van Dirick de Vriese" The Commercialisation of the Artistic Identity between Venice and the 'North'

Isabella Di Lenardo

In the second half of the sixteenth century the artistic exchanges between Venice and the Low Countries intensified. Although no Venetian painters settled in Antwerp or in the cities of the Low Countries, several painters of Flemish origin, in particular D ...

IRSA PUBLISHING HOUSE2018

Extracting And Aligning Artist Names in Digitized Art Historical Archives

Frédéric Kaplan, Isabella Di Lenardo, Benoît Laurent Auguste Seguin

The largest collections of art historical images are not found online but are safeguarded by museums and other cultural institutions in photographic libraries. These collections can encompass millions of reproductions of paintings, drawings, engravings and ...

Red de Humanidades Digitales A. C.2018

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