Xavier Aure Calvet
Visualising surface texture through the combination of 2D and 3D data
Aure Calvet, Xavier; Enrique, Esteban; Joseph, Padfield; Carinna, Parraman
Authors
Esteban Enrique
Padfield Joseph
Carinna Parraman Carinna.Parraman@uwe.ac.uk
Professor in Design Innovation
Abstract
Presentation of a new workflow developed to facilitate the efficient visualisation and rendering of surface texture of paintings. The workflow combines digital colour images, Reflectance Transformation Imaging and 3D data produced with a laser scanner to visualise a portrait by Goya, Doña Isabel de Porcel, from the National Gallery in London.
Citation
Aure Calvet, X., Enrique, E., Joseph, P., & Carinna, P. (2016, June). Visualising surface texture through the combination of 2D and 3D data. Poster presented at SEAHA Conference 2016, University of Oxford, School of Geography and the Environment
Presentation Conference Type | Poster |
---|---|
Conference Name | SEAHA Conference 2016 |
Conference Location | University of Oxford, School of Geography and the Environment |
Start Date | Jun 20, 2016 |
Deposit Date | Aug 12, 2021 |
Publicly Available Date | Mar 28, 2024 |
Public URL | https://uwe-repository.worktribe.com/output/5642121 |
Publisher URL | http://www.seaha-cdt.ac.uk/activities/events/seaha-conference-2016/ |
Files
Visualising surface texture through the combination of 2D and 3D data
(1.8 Mb)
PDF
Licence
http://www.rioxx.net/licenses/all-rights-reserved
Publisher Licence URL
http://www.rioxx.net/licenses/all-rights-reserved
You might also like
Printing structural colour
(2023)
Presentation / Conference
RGB colour printing and halftoning for the reproduction of structural colour images
(2023)
Presentation / Conference
Near and far: An exhibition of artworks made by the printmaking staff at the University of the West of England
(2023)
Exhibition / Performance
Deep Impact
(2023)
Journal Article
Bristol print innovators make a strong impression
(2022)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search