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      Revisiting Paintings: Automated 2.5D capture for large planar artworks

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      Proceedings of EVA London 2024 (EVA 2024)
      Since 1990, the EVA London Conference has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences in the field of digital visualisation. The papers and abstracts in this volume cover areas such as the arts, culture, heritage, museums, music, performance, visual art, and visualisation, as well as related interdisciplinary areas, in combination with technology. The latest research and work by early career researchers, established scholars, practitioners, research students, and visual artists, can be found in this volume, published in full colour.
      8–12 July 2024
      Photogrammetry, Reflectance transformation imaging, Paintings, 2.5D imaging, High-resolution images
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            Abstract

            Content

            Author and article information

            Contributors
            Conference
            July 2024
            July 2024
            : 298-305
            Affiliations
            [0001]Centre for Print Research

            University of the West of England

            W Block Frenchay Campus

            Coldharbour Lane

            Bristol BS16 1QY

            UK
            [0002]Vasthu

            Puppet Place Unit 18

            Albion Dockside Estate

            Hanover Place

            Bristol BS1 6UT

            UK
            Article
            10.14236/ewic/EVA2024.54
            8b964853-9c44-4cf9-98dd-88a4d94e8531
            © Calvet et al. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2024, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of EVA London 2024
            EVA 2024
            London
            8–12 July 2024
            Electronic Workshops in Computing (eWiC)
            Since 1990, the EVA London Conference has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences in the field of digital visualisation. The papers and abstracts in this volume cover areas such as the arts, culture, heritage, museums, music, performance, visual art, and visualisation, as well as related interdisciplinary areas, in combination with technology. The latest research and work by early career researchers, established scholars, practitioners, research students, and visual artists, can be found in this volume, published in full colour.
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2024.54
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            High-resolution images,Paintings,Photogrammetry,2.5D imaging,Reflectance transformation imaging

            REFERENCES

            1. Agisoft LLC (2024) Agisoft Metashape User Manual Professional Edition Version 2.1. https://www.agisoft.com/downloads/user-manuals/ Agisoft Metashape Professional Edition User Manual (s://www.agisoft.com/downloads/user-manuals/ Agisoft Metashape Professional Edition User Manual March 2024).

            2. Aure, X., O’Dowd, P. and Padfield, J. (2017) Generating 3D Models of Paintings through the Combination of 2D, 3D and RTI Data. In: Bowen, J.P., Diprose, G., Lambert, N. (eds) (2017) EVA London 2017: Electronic Visualisation and the Arts, DOI: 10.14236/ewic/EVA2017.4

            3. Berkiten, S., Fan, X. and Rusinkiewicz, S. (2015) Merge2-3D: Combining multiple normal maps with 3D surfaces. Proceedings - 2014 International Conference on 3D Vision, 3DV 2014, pp. 440–447. doi: 10.1109/3DV.2014.22.

            4. Centre for Print Research, The (2020) Canaletto, The Grand Canal, Ascension Day ©From the Woburn Abbey Collection https://cfpr.uwe.ac.uk/viewer/scanner-viewer/ (s://cfpr.uwe.ac.uk/viewer/scanner-viewer/ March 2024).

            5. CNR-ISTI VCLab (2024) Relight. https://github.com/cnr-isti-vclab/relight (s://github.com/cnr-isti-vclab/relight January 2024).

            6. Erdmann, R. (2013) http://boschproject.org/old_index.html# (://boschproject.org/old_index.html# January 2024).

            7. Karami, A., Menna, F., Remondino, F. (2022) Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction. Sensors 2022, 22, 8172. https://doi.org/10.3390/s22218172

            8. Matsushita, Y. (2019) RobustPhotometricStereo. https://github.com/yasumat/RobustPhotometricStereo/tree/master (s://github.com/yasumat/RobustPhotometricStereo/tree/master March 2024).

            9. Nehab, D., Rusinkiewicz, S., Davis, J., Ramamoorthi, R., (2005) Efficiently combining positions and normals for precise 3D geometry. ACM Transactions on Graphics, 24(3), 536–543

            10. V&A Museum (2024) Curtain Viewer. https://github.com/vanda/curtain-viewer?tab=readme-ov-file (s://github.com/vanda/curtain-viewer?tab=readme-ov-file January 2024).

            11. Zhu T, Qi L, Fan H, Dong J. (2019) Photometric Stereo on Large Flattened Surfaces Using Image Stitching. Procedia Computer Science. Volume 147. Pages 247-253. doi:10.1016/j.procs.2019.01.245

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