Multiscale acquisition and presentation of very large artifacts: The case of portalada

  • Authors:
  • Marco Callieri;Antoni Chica;Matteo Dellepiane;Isaac Besora;Massimiliano Corsini;Jordi Moyés;Guido Ranzuglia;Roberto Scopigno;Pere Brunet

  • Affiliations:
  • Visual Computing Lab, ISTI-CNR, Pisa, Italy;Universitat Politecnica de Catalunya, Barcelona, Spain;Visual Computing Lab, ISTI-CNR, Pisa, Italy;Universitat Politecnica de Catalunya, Barcelona, Spain;Visual Computing Lab, ISTI-CNR, Pisa, Italy;Universitat Politecnica de Catalunya, Barcelona, Spain;Visual Computing Lab, ISTI-CNR, Pisa, Italy;Visual Computing Lab, ISTI-CNR, Pisa, Italy;Universitat Politecnica de Catalunya, Barcelona, Spain

  • Venue:
  • Journal on Computing and Cultural Heritage (JOCCH)
  • Year:
  • 2011

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Abstract

The dichotomy between full detail representation and the efficient management of data digitization is still a big issue in the context of the acquisition and visualization of 3D objects, especially in the field of the cultural heritage. Modern scanning devices enable very detailed geometry to be acquired, but it is usually quite hard to apply these technologies to large artifacts. In this article we present a project aimed at virtually reconstructing the impressive (7×11 m.) portal of the Ripoll Monastery, Spain. The monument was acquired using triangulation laser scanning technology, producing a dataset of 2212 range maps for a total of more than 1 billion triangles. All the steps of the entire project are described, from the acquisition planning to the final setup for dissemination to the public. We show how time-of-flight laser scanning data can be used to speed-up the alignment process. In addition we show how, after creating a model and repairing imperfections, an interactive and immersive setup enables the public to navigate and display a fully detailed representation of the portal. This article shows that, after careful planning and with the aid of state-of-the-art algorithms, it is now possible to preserve and visualize highly detailed information, even for very large surfaces.