Trzeci wykład trzeciej edycji HS Academy zostanie wygłoszony w czwartek, 27 marca wyjątkowo o godz. 11:00 przez profesora Marca Waltona i nosi tytuł
„Computational Imaging for Cultural Heritage: Where we are and What is our Future?”
Będzie on poświęcony metodom obrazowania komputerowego w badaniach obiektów dziedzictwa pozwalających na uzyskanie informacji niedostępnej poprzez klasyczną obserwację. Przykłady będą dotyczyć obrazowania obiektów w mikro i makro skali z wykorzystaniem technik AI.
Oto pełna informacja o wykładzie:
The third lecture of the 3rd Edition of the HS Academy „Current Topics in Heritage Science” series will be delivered on March 27th, 2025, at 11 am (CET), by Marc Walton. The lecture „Computational Imaging for Cultural Heritage: Where we are and What is our Future?” will provide the attendees with an introduction to the computational imaging in heritage science.
Speaker:
Marc Walton is a professor in the Museum Studies Program at the University of Hong Kong. Prior to this, he held senior leadership positions at Hong Kong’s M+ (Head of Conservation and Research) and in academia as co-director of Northwestern University’s Center for Scientific Studies in the Arts where he was also Research Professor of Materials Science. He has led numerous scientific projects investigating art objects in collaboration with cultural heritage institutions representing a broad range of disciplines (from anthropology to contemporary art) and geographical reach (both U.S. and internationally). He has also held positions at the Getty Museum and the Los Angeles County Museum of Art (LACMA) after receiving training in art history, conservation and archaeological science at NYU’s Institute of Fine Arts and the University of Oxford. Professor Walton’s most recent research is on developing and using imaging technologies in the field of conservation science to better understand how artworks were made and deteriorate.
Abstract
Computational imaging requires the optimization of hardware and software to gain information about a scene that is not accessible using traditional methods. For cultural heritage, this approach opens possibilities for new, non-destructive, yet highly specific means for understanding the chemical composition, structure, and shape of an object, building, or landscape. In this lecture, the speaker will present a brief background on the aims and goals of computationally imaging cultural objects, followed by an overview of his research group’s contributions to the field, which started at Northwestern University and is now at the University of Hong Kong. A particular emphasis will be placed on taking the lessons learned from imaging the macroscopic world (things larger than a hand specimen) into the microscopic realm, which is more difficult due to the nonlinear interactions between light and matter at this scale. The last part of the lecture will examine the use of artificial intelligence and, specifically, foundational models (like those employed in OpenAI’s ChatGPT) to solve problems in identifying and retrieving microscopic images of pigments, fibers, corrosion products, and other materials relevant to culture
Key topics Computational imaging in cultural heritage
- Computational imaging in cultural heritage
- Development of computational X-ray and Optical methods on the macro scale
- New approaches to computational imaging of pigments, fibers, and corrosion products at the micro scale
- The use of AI for the retrieval of microscopic images
You will learn
- What is computational imaging
- How computational imaging can be used to assess the condition and structure of artworks
- How to develop a framework for computational/ hardware schemes to realize information not accessible using traditional imaging methods
- How AI can be leveraged to solve real problems in cultural heritage science
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