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Revisiting paintings: Automated 2.5D capture for large planar artworks

Aure Calvet, Xavier; Akula, Chatrapathi; Hirani, Kyle

Revisiting paintings: Automated 2.5D capture for large planar artworks Thumbnail


Xavier Aure Calvet

Chatrapathi Akula

Kyle Hirani


This paper presents a practical method for digitally capturing and visualising paintings, utilising a custom 3D scanner that combines Reflectance Transformation Imaging (RTI) and photogrammetry. Focused on creating highly detailed 2.5D images, the method ensures precise data alignment and high-resolution output. The technique was applied to Canaletto's 'The Grand Canal, Ascension Day', revealing intricate surface details and artistic techniques, previously unseen. These large, high-resolution images, viewable through an online zoomable viewer, provide access to artwork details, enhancing both public engagement and scientific documentation.

Presentation Conference Type Conference Paper (Published)
Conference Name EVA 2024
Start Date Jul 8, 2024
End Date Jul 12, 2024
Acceptance Date Mar 15, 2024
Online Publication Date Jul 1, 2024
Publication Date Jul 1, 2024
Deposit Date Jun 28, 2024
Publicly Available Date Jul 1, 2024
Series Title Electronic Workshops in Computing
Series ISSN 1477-9358
Book Title Proceedings of EVA London 2024
Public URL


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