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    Scene depth extraction from Holoscopic Imaging technology

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    Authors
    Alazawi, E.
    Aggoun, Amar
    Abbod, M.
    Swash, M.R.
    Abdul Fatah, O.
    Fernandez, Juan C. J.
    Affiliation
    University of Bedfordshire
    Brunel University
    Issue Date
    2013-10
    Subjects
    computational complexity
    feature extraction
    holography
    image matching
    3D information acquisition
    3D omnidirectional holoscopic imaging system
    3DOHI
    FMS algorithm
    fly eye
    automatic feature-match selection algorithm
    automatic optimization
    computational complexity
    depth map estimation
    depth measurement
    dissimilar displacements
    feature block selection
    full parallax 3D model
    image location
    natural continuous parallax 3D objects
    scene depth extraction
    single aperture camera
    viewing zone
    volume spatial optical model
    3D omni-directional Holoscopic Image
    auto feature thresholding
    depth map
    disparity map
    optimal corresponding
    viewpoints image
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    Abstract
    3D Holoscopic Imaging (3DHI) is a promising technique for viewing natural continuous parallax 3D objects within a wide viewing zone using the principle of “Fly's eye”. The 3D content is captured using a single aperture camera in real-time and represents a true volume spatial optical model of the object scene. The 3D content viewed by multiple viewers independently of their position, without 3D eyewear glasses. The 3DHI technique merely requires a single recording that the acquisition of the 3D information and the compactness of depth measurement that is used has been attracting attention as a novel depth extraction technique. This paper presents a new corresponding and matching technique based on a novel automatic Feature-Match Selection (FMS) algorithm. The aim of this algorithm is to estimate and extract an accurate full parallax 3D model form from a 3D Omni-directional Holoscopic Imaging (3DOHI) system. The basis for the novelty of the paper is on two contributions: feature blocks selection and corresponding automatic optimization process. There are solutions for three main problems related to the depth map estimation from 3DHI: uncertainty and region homogeneity at image location, dissimilar displacements within the matching block around object borders, and computational complexity.
    Citation
    Alazawi, E., Aggoun, A., Abbod, M., Swash, M.R., Abdul Fatah, O., Fernandez, J., (2013) 'Scene depth extraction from Holoscopic Imaging technology,' 3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON). Aberdeen, 7-8 October.
    Publisher
    IEEE
    URI
    http://hdl.handle.net/10547/334483
    DOI
    10.1109/3DTV.2013.6676640
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6676640
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISSN
    2161-2021
    ae974a485f413a2113503eed53cd6c53
    10.1109/3DTV.2013.6676640
    Scopus Count
    Collections
    Centre for Computer Graphics and Visualisation (CCGV)

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