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    • 25-Issue 3
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    Efficient Large Scale Acquisition of Building Interiors

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    Date
    2006
    Author
    Bahmutov, Gleb
    Popescu, Voicu
    Mudure, Mihai
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    Abstract
    We describe a system for the rapid acquisition of building interiors. In 40 hours, a two member team with a single acquisition device captured a model of the corridors and 20 individual rooms spanning 6 floors of a large building. Our custom acquisition device operates at interactive rates. The system provides immediate feedback to the operator. The operator guides the acquisition device in realtime and trivially avoids over sampling the planar parts of the scene such as floors, ceilings, walls, or doors. Most of the acquisition time budget is spent on the parts of the scene with complex geometry. A corridor section is modeled by acquiring a depth enhanced panorama (DEP) a teach one of its two ends and by fitting proxy geometry to the two DEPs. A room is acquired with a single DEP and proxy geometry is fitted to the planar parts. A room or a corridor section is acquired in less than 15 minutes. The acquisition device acquires high quality color intrinsically registered with the depth data. The resulting model is a texture mapped triangle mesh that supports photo realistic interactive rendering an dissuitable for applications such as virtual training and simulation.Categories and Subject Descriptors (ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling.
    BibTeX
    @article {10.1111:j.1467-8659.2006.00985.x,
    journal = {Computer Graphics Forum},
    title = {{Efficient Large Scale Acquisition of Building Interiors}},
    author = {Bahmutov, Gleb and Popescu, Voicu and Mudure, Mihai},
    year = {2006},
    publisher = {The Eurographics Association and Blackwell Publishing, Inc},
    ISSN = {1467-8659},
    DOI = {10.1111/j.1467-8659.2006.00985.x}
    }
    URI
    http://dx.doi.org/10.1111/j.1467-8659.2006.00985.x
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA