Presentation
10 August 2023 Improved illumination-induced multispectral Imaging system and machine learning approach for the examination of artworks
Marie Didier, Gabriel Bernasconi, Sébastien Blanc, Vincent Carrel, Pierre-Antoine Héritier, Pedram Pad, Andrea Dunbar
Author Affiliations +
Abstract
Combining machine learning and physical optical models with advanced portable equipment system, we demonstrate the applicability of a new illumination-induced multispectral imaging system to the examination and detection of forgery in antique polychromic objects.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marie Didier, Gabriel Bernasconi, Sébastien Blanc, Vincent Carrel, Pierre-Antoine Héritier, Pedram Pad, and Andrea Dunbar "Improved illumination-induced multispectral Imaging system and machine learning approach for the examination of artworks", Proc. SPIE 12620, Optics for Arts, Architecture, and Archaeology (O3A) IX, 1262007 (10 August 2023); https://doi.org/10.1117/12.2673875
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KEYWORDS
Machine learning

Multispectral imaging

Imaging systems

Pigments

Cultural heritage

Light sources and illumination

Neural networks

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