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Principles and practices of robust, photography-based digital imaging techniques for museums

Principles and practices of robust, photography-based digital imaging techniques for museums
Principles and practices of robust, photography-based digital imaging techniques for museums
This full day tutorial will use lectures and demonstrations from leading researchers and museum practitioners to present the principles and practices for robust photography-based digital techniques in museum contexts. The tutorial will present many examples of existing and cutting-edge uses of photography-based imaging including Reflectance Transformation Imaging (RTI), Algorithmic Rendering (AR), camera calibration, and methods of imaged-based generation of textured 3D geometry. The tutorial will also explore a framework for Leading museums are now adopting the more mature members of this family of robust digital imaging practices. These practices are part of the emerging science known as Computational Photography (CP). The imaging family’s common feature is the purpose-driven selective extraction of information from sequences of standard digital photographs. The information is extracted from the photographic sequences by computer algorithms. The extracted information is then integrated into a new digital representations containing knowledge not present in the original photogs, examined either alone or sequentially. The tutorial will examine strategies that promote widespread museum adoption of empirical acquisition technologies, generate scientifically reliable digital representations that are ‘born archival’, assist this knowledge’s long-term digital preservation, enable its future reuse for novel purposes, aid the physical conservation of the digitally represented museum materials, and enable public access and research.
reflectance transformation imaging, empirical provenance, photogrammetry, non-photorealistic rendering, digital preservation, cultural heritage, ptm
Mudg, M.
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Schroer, C.
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Earl, G.
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Martinez, K
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Pagi, H.
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Toler-Franklin, C.
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Rusinkiewicz, S.
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Palma, G.
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Wachowiak, M.
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Ashey, M.
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Mathews, N
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Noble, T.
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Dellepian, M.
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Mudg, M.
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Schroer, C.
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Earl, G.
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Martinez, K
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Pagi, H.
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Toler-Franklin, C.
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Rusinkiewicz, S.
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Palma, G.
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Wachowiak, M.
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Ashey, M.
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Mathews, N
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Noble, T.
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Dellepian, M.
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Mudg, M., Schroer, C., Earl, G., Martinez, K, Pagi, H., Toler-Franklin, C., Rusinkiewicz, S., Palma, G., Wachowiak, M., Ashey, M., Mathews, N, Noble, T. and Dellepian, M. (2010) Principles and practices of robust, photography-based digital imaging techniques for museums. 11th VAST International Symposium on Virtual Reality, Archaeology and Cultural Heritage, Paris, France. 21 - 24 Sep 2010.

Record type: Conference or Workshop Item (Paper)

Abstract

This full day tutorial will use lectures and demonstrations from leading researchers and museum practitioners to present the principles and practices for robust photography-based digital techniques in museum contexts. The tutorial will present many examples of existing and cutting-edge uses of photography-based imaging including Reflectance Transformation Imaging (RTI), Algorithmic Rendering (AR), camera calibration, and methods of imaged-based generation of textured 3D geometry. The tutorial will also explore a framework for Leading museums are now adopting the more mature members of this family of robust digital imaging practices. These practices are part of the emerging science known as Computational Photography (CP). The imaging family’s common feature is the purpose-driven selective extraction of information from sequences of standard digital photographs. The information is extracted from the photographic sequences by computer algorithms. The extracted information is then integrated into a new digital representations containing knowledge not present in the original photogs, examined either alone or sequentially. The tutorial will examine strategies that promote widespread museum adoption of empirical acquisition technologies, generate scientifically reliable digital representations that are ‘born archival’, assist this knowledge’s long-term digital preservation, enable its future reuse for novel purposes, aid the physical conservation of the digitally represented museum materials, and enable public access and research.

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Mudge_VAST10_Tutorial_final_print.pdf - Version of Record
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More information

Published date: September 2010
Venue - Dates: 11th VAST International Symposium on Virtual Reality, Archaeology and Cultural Heritage, Paris, France, 2010-09-21 - 2010-09-24
Keywords: reflectance transformation imaging, empirical provenance, photogrammetry, non-photorealistic rendering, digital preservation, cultural heritage, ptm
Organisations: Web & Internet Science, Archaeology

Identifiers

Local EPrints ID: 271658
URI: http://eprints.soton.ac.uk/id/eprint/271658
PURE UUID: a6c5170b-3582-4ec8-bfde-2ae90a34e153
ORCID for G. Earl: ORCID iD orcid.org/0000-0001-9077-4605
ORCID for K Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 28 Oct 2010 11:53
Last modified: 15 Mar 2024 02:53

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Contributors

Author: M. Mudg
Author: C. Schroer
Author: G. Earl ORCID iD
Author: K Martinez ORCID iD
Author: H. Pagi
Author: C. Toler-Franklin
Author: S. Rusinkiewicz
Author: G. Palma
Author: M. Wachowiak
Author: M. Ashey
Author: N Mathews
Author: T. Noble
Author: M. Dellepian

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