Perceptive Enhanced Realities of Coloured Collections through AI and Virtual Experiences
Description
This paper was 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 Proceedings of the Digital Heritage Conference in Siena, September 2025.
Files
DH25FullPaper_PERCEIVE.pdf
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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)
- UV/VIS/NIR Spectroscopy: https://perceive-data.iesl.forth.gr/records/4wbke-nff35 (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 from Perceive project
- 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
- Data examination/Data processing
- Technique
- AI Data Analysis