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Scientific Computing and Cultural Heritage pp 61–69Cite as

Image-Based Techniques in Cultural Heritage Modeling

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Part of the book series: Contributions in Mathematical and Computational Sciences ((CMCS,volume 3))

Abstract

In this paper, an overview of image-based 3D modeling techniques applied to Cultural Heritage objects will be given. In two case studies we present various sensors, acquisition configurations and platforms for image acquisition and describe the image processing workflow. Additionally, actual and future developments and trends such as further automation of image processing and the combination of image-based techniques with data acquired by other sensors will be discussed. In this paper, we focus on those image-based techniques that aim for 3D reconstruction of objects and terrain from multi-image processing, though for several applications other image-based techniques can be an option as well, e.g. the generation of façade plans from single images or structured light systems for small objects and accuracies in the range of less than 100 μm.

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Notes

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Acknowledgements

The author thanks Henri Eisenbeiss and Hannes Püschel for their work on the Landenberg project and Melanie Kunz and Mathias Flühler for their work on Túcume.

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Authors and Affiliations

  1. Faculty of Architecture, Institute of Historic Building Research and Conservation, ETH Zürich, Zurich, Switzerland

    Martin Sauerbier

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  1. Martin Sauerbier
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Correspondence to Martin Sauerbier .

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Editors and Affiliations

  1. IWR, University of Heidelberg, Im Neuenheimer Feld 368, Heidelberg, 69120, Germany

    Hans Georg Bock

  2. IWR, University of Heidelberg, Im Neuenheimer Feld 368, Heidelberg, 69120, Germany

    Willi Jäger

  3. Interdisziplinäres Zentrum für, Wissenschaftliches Rechnen (IWR), Universität Heidelberg, Im Neuenheimer Feld 368, Heidelberg, 69120, Germany

    Michael J. Winckler

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Sauerbier, M. (2013). Image-Based Techniques in Cultural Heritage Modeling. In: Bock, H., Jäger, W., Winckler, M. (eds) Scientific Computing and Cultural Heritage. Contributions in Mathematical and Computational Sciences, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28021-4_7

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