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Computer Graphics for Archaeology

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Visual Computing for Cultural Heritage

Part of the book series: Springer Series on Cultural Computing ((SSCC))

Abstract

Archaeologists reconstruct past human activity from material culture remains. Recording, representing and reconstructing artifacts or contexts is a long, morose, and often expensive process. Computers have radically changed traditional methodologies and are creating opportunities to develop more eloquent images or graphic files that convey compressed information and engage the public in a more participative way. Archeological reconstructions are thinking tools that allow us to reason better and faster about our past and present, and computer graphics can replace the traditional long texts and orthographic images with a rich learning environment that transforms the learning experience into an active and critical mental process. This chapter analyses the current methodologies and evaluates the cost-benefits of the best off-the-shelf software packages and their potential to improve the recording, representing, reconstructing, and sharing archaeological contexts and artifacts.

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Authors and Affiliations

  1. Nautical Archaeology Program, Texas A&M University, College Station, USA

    Filipe Castro & Christopher Dostal

Authors
  1. Filipe Castro
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  2. Christopher Dostal
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Corresponding author

Correspondence to Filipe Castro .

Editor information

Editors and Affiliations

  1. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Fotis Liarokapis

  2. University of West Attica, Athens, Greece

    Athanasios Voulodimos

  3. National Technical University of Athens, Athens, Greece

    Nikolaos Doulamis

  4. Dept of Electrical & Computer Eng, National Technical University of Athens, Athens, Greece

    Anastasios Doulamis

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Castro, F., Dostal, C. (2020). Computer Graphics for Archaeology. In: Liarokapis, F., Voulodimos, A., Doulamis, N., Doulamis, A. (eds) Visual Computing for Cultural Heritage. Springer Series on Cultural Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-37191-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-37191-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37190-6

  • Online ISBN: 978-3-030-37191-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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