GCH 2014 - Eurographics Workshop on Graphics and Cultural Heritage

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https://diglib.eg.org/handle/10.2312/7755

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Browsing GCH 2014 - Eurographics Workshop on Graphics and Cultural Heritage by Subject "Digitizing and scanning"

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    Low-Cost Real-Time 3D Reconstruction of Large-Scale Excavation Sites using an RGB-D Camera
    (The Eurographics Association, 2014) Zollhöfer, Michael; Siegl, Christian; Riffelmacher, Bert; Vetter, Mark; Dreyer, Boris; Stamminger, Marc; Bauer, Frank; Reinhard Klein and Pedro Santos
    In this paper, we present an end-to-end pipeline for the online reconstruction of large-scale outdoor environments and tightly confined indoor spaces using a low-cost consumer-level hand-held RGB-D sensor. While scanning, the user sees a live view of the current reconstruction, allowing him to intervene immediately and to adapt the sensor path to the current scanning result. After a raw reconstruction has been acquired, we interactively warp the digital model to fit a geo-referenced map using a handle based deformation paradigm. Even large sites can be scanned within a few minutes, and no costly postprocessing is required. We developed our prototype in cooperation with researchers from the field of ancient history and geography and extensively tested the system under real world conditions on an archeological excavation in Metropolis, Ionia, Turkey. The quality of the acquired digitized raw 3D models is evaluated by comparing them to actual imagery and a geo-referenced map of the excavation site. Our reconstructions can be used to take virtual measurements that are often required in research and are the basis for a digital preservation of our cultural heritage. In addition, digital models are a helpful tool for teaching as well as for edutainment purposes making such information accessible to the general public.
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    A TaLISMAN: Automatic Text and LIne Segmentation of historical MANuscripts
    (The Eurographics Association, 2014) Pintus, Ruggero; Yang, Ying; Gobbetti, Enrico; Rushmeier, Holly; Reinhard Klein and Pedro Santos
    Historical and artistic handwritten books are valuable cultural heritage (CH) items, as they provide information about tangible and intangible cultural aspects from the past. Massive digitization projects have made these kind of data available to a world-wide population, and pose real challenges for automatic processing. In this scenario, document layout analysis plays a significant role, being a fundamental step of any document image understanding system. In this paper, we present a completely automatic algorithm to perform a robust text segmentation of old handwritten manuscripts on a per-book basis, and we show how to exploit this outcome to find two layout elements, i.e., text blocks and text lines. Our proposed technique have been evaluated on a large and heterogeneous corpus content, and our experimental results demonstrate that this approach is efficient and reliable, even when applied to very noisy and damaged books.