Perceptive Enhanced Realities of Coloured Collections through AI and Virtual Experiences
Description
Paper in the Proceedings published by Eurographics - The European Association for Computer Graphics, S. Campana, D. Ferdani, H. Graf, G. Guidi, Z. Hegarty, S. Pescarin, and F. Remondino (Editors), for the Digital Heritage Conference in Siena, September 2025.
Files
DH25FullPaper_PERCEIVE.pdf
Files
(19.9 MB)
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Additional details
Related works
- Describes
- 2D Digital Microscopy: https://perceive-data.iesl.forth.gr/records/dpnsy-ky962 (URL)
- 3D Digital Microscopy: https://perceive-data.iesl.forth.gr/records/t5vjk-w4091 (URL)
- MacroXRF Scanning: https://perceive-data.iesl.forth.gr/records/1bpty-yx151 (URL)
- White Light (or Visible light) Photography: https://perceive-data.iesl.forth.gr/records/p1v7a-43p08 (URL)
Research focus
- Research focus Title
- color change research and AI tools and services
- Research focus Category
- Object/artwork
- Research focus Description
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PERCEIVE (Perceptive Enhanced Realities of Coloured Collections through AI and Virtual Experiences) is an European project dedicated to the study, analysis, interpretation, reconstruction, conservation and communication of colours in artworks and historical objects, within five different scenarios, including: lost polychromy of ancient sculptures, fading colours of paintings and works on paper, fading of textiles, historical photo and film collections, and of colours of digital born art. This paper describes the overall methodology and presents the main results beyond the state-of-the-art.
Research activity
- Research Activity Type
- Object Examination/Colour change detection
- Technique
- 3D laser scanning