Dear colleagues, dear friends,

It is with great pleasure that I invite you to the open Ph.D. defense entitled “Methods for Classification and Pigment Identification on Multidimensional Image Data”. My Ph.D. project was conducted in collaboration between the Imaging and Artificial Vision Laboratory (ImViA), University of Burgundy (UB), Dijon, France and Centre de Recherche et de Restauration des Musées de France (C2RMF) & CNRS PCMTH IRCP, Paris, France in the framework of H2020 MSCA-ITN CHANGE.

 

The composition of the jury is the following:

Prof. Sylvie Le Hegarat – Rapporteure

Prof. Sony George – Rapporteur

Prof. Véronique Eglin – Examinatrice

Dr. Clotilde Boust –  Co-encadrant de thèse

Prof. Alamin MANSOURI – Directeur de thèse

 

Abstract

This thesis proposes a multimodal methodology aimed at automating the traditionally expert-driven process of pigment identification. By leveraging advancements in hyperspectral and multispectral imaging technologies and employing deep learning techniques, the research addresses three core questions: the automation of pigment identification from images, the applicability of hyperspectral unmixing methods to pigment identification, and the enhancement of classification accuracy through the joint exploitation of spectral and spatial information. The findings, validated through extensive experiments with real paintings and mockup samples, not only contribute significantly to the field of cultural heritage conservation but also open new avenues for future research in pigment identification and conservation practices.

 

Attendance

The defense will be held on the 15th of March 2024 (Friday) at 14h00 (2pm in the afternoon) at the following address:

Auditorium of C2RMF- C2RMF – 14 quai François Mitterrand – 75001 PARIS – France

For those attending online, you can participate by following this link.

I am looking forward to your participation!

Kind regards,

Jizhen Cai

 

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