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    Multiview specular stereo reconstruction of large mirror surfaces

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    Type
    Conference Paper
    Authors
    Balzer, Jonathan
    Höler, Sebastian
    Beyerer, Jürgen
    KAUST Department
    Visual Computing Center (VCC)
    Date
    2011-06
    Permanent link to this record
    http://hdl.handle.net/10754/564391
    
    Metadata
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    Abstract
    In deflectometry, the shape of mirror objects is recovered from distorted images of a calibrated scene. While remarkably high accuracies are achievable, state-of-the-art methods suffer from two distinct weaknesses: First, for mainly constructive reasons, these can only capture a few square centimeters of surface area at once. Second, reconstructions are ambiguous i.e. infinitely many surfaces lead to the same visual impression. We resolve both of these problems by introducing the first multiview specular stereo approach, which jointly evaluates a series of overlapping deflectometric images. Two publicly available benchmarks accompany this paper, enabling us to numerically demonstrate viability and practicability of our approach. © 2011 IEEE.
    Citation
    Balzer, J., Hofer, S., & Beyerer, J. (2011). Multiview specular stereo reconstruction of large mirror surfaces. CVPR 2011. doi:10.1109/cvpr.2011.5995346
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    CVPR 2011
    Conference/Event name
    2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011
    ISBN
    9781457703942
    DOI
    10.1109/CVPR.2011.5995346
    ae974a485f413a2113503eed53cd6c53
    10.1109/CVPR.2011.5995346
    Scopus Count
    Collections
    Conference Papers; Visual Computing Center (VCC)

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