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    Reference based holoscopic 3D camera aperture stitching for widening the overall viewing angle

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    Authors
    Swash, M.R.
    Fernandez, Juan C. J.
    Aggoun, Amar
    Fatah, O. Abdul
    Tsekleves, Emmanuel
    Affiliation
    Brunel University
    University of Bedfordshire
    Issue Date
    2014-07
    Subjects
    3D camera
    3D display
    holoscopic 3D image
    integral image
    lenslets
    microlens arrays
    stitching
    holography
    image processing
    image sensors
    
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    Abstract
    Holoscopic 3D imaging also known as Integral imaging is a promising technique for creating full color 3D optical models that exist in space independently of the viewer. The images exhibit continuous parallax throughout the viewing zone. In order to achieve depth control, robust and real-time, a single aperture holoscopic 3D imaging camera is used for recording holoscopic 3D image using a regularly spaced array of small lenslets, which view the scene at a slightly different angle to its neighbour. However, the main problem the holoscopic 3D camera aperture faces is that it is not big enough for recording larger scene with existing 2D camera sensors. This paper proposes a novel reference based holoscopic 3D camera aperture stitching method that enlarges overall viewing angle of the holoscopic 3D camera in post-production after the capture.
    Citation
    Swash, M.R., Fernandez, J.C., Aggoun, A., Abdulfatah, O.,Tsekleves, E. (2014) 'Reference based holoscopic 3D camera aperture stitching for widening the overall viewing angle' 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), Budapest, 2-4 July 2014
    Publisher
    IEEE
    URI
    http://hdl.handle.net/10547/335972
    DOI
    10.1109/3DTV.2014.6874765
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6874765
    Type
    Conference papers, meetings and proceedings
    Language
    en
    Sponsors
    This work has been supported by European Commission under Grant FP7-ICT-2009-4 (3DVIVANT).
    ae974a485f413a2113503eed53cd6c53
    10.1109/3DTV.2014.6874765
    Scopus Count
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    Centre for Computer Graphics and Visualisation (CCGV)

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