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Intuitive Visualization of Reflectance Transformation Imaging for Interactive Analysis of Cultural Artifacts

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Augmented and Virtual Reality (AVR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8853))

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Abstract

Reflectance Transformation Imaging (RTI) can be used to capture surface details including color and reflectance properties, enabling subsequent interactive rendering and re-lighting of digitized artifacts, enhancing and revealing otherwise obscured information. This paper presents a contextualized RTI visualization technique, transforming data analysis from desktop-based visualization into hands-on, interactive, intuitive, and collaborative data exploration that can augment RTI data directly on the physical artifact. Networked, mobile devices are introduced as visual interfaces to the data and as physical controllers for the intuitive manipulation of virtual light sources, including their position and characteristics.

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Author information

Authors and Affiliations

  1. Center of Interdisciplinary Science for Art, Architecture, and Archaeology (CISA3), Qualcomm Institute, Calit2, University of California San Diego, La Jolla, CA, USA

    David Vanoni, Li Ge & Falko Kuester

Authors
  1. David Vanoni
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  2. Li Ge
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  3. Falko Kuester
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Corresponding author

Correspondence to David Vanoni .

Editor information

Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Salento, Lecce, Italy

    Antonio Mongelli

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© 2014 Springer International Publishing Switzerland

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Vanoni, D., Ge, L., Kuester, F. (2014). Intuitive Visualization of Reflectance Transformation Imaging for Interactive Analysis of Cultural Artifacts. In: De Paolis, L., Mongelli, A. (eds) Augmented and Virtual Reality. AVR 2014. Lecture Notes in Computer Science(), vol 8853. Springer, Cham. https://doi.org/10.1007/978-3-319-13969-2_29

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  • DOI: https://doi.org/10.1007/978-3-319-13969-2_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13968-5

  • Online ISBN: 978-3-319-13969-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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