Revisiting paintings: Automated 2.5D capture for large planar artworks

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

Abstract

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
• DOI: https://doi.org/10.14236/ewic/eva2024.54
• Public URL: https://uwe-repository.worktribe.com/output/12087899