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    Displacement error analysis of 6-DoF virtual reality

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    Authors
    Aksu, Ridvan
    Chakareski, Jacob
    Velisavljevic, Vladan
    Affiliation
    University of Alabama
    University of Bedfordshire
    Issue Date
    2019-12-31
    Subjects
    displacement error analysis
    virtual reality
    
    Metadata
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    Abstract
    Virtual view synthesis is a critical step in enabling Six-Degrees of Freedom (DoF) immersion experiences in Virtual Reality (VR). It comprises synthesis of virtual viewpoints for a user navigating the immersion environment, based on a small subset of captured viewpoints featuring texture and depth maps. We investigate the extreme values of the displacement error in view synthesis caused by depth map quantization, for a given 6DoF VR video dataset, particularly based on the camera settings, scene properties, and the depth map quantization error. We establish a linear relationship between the displacement error and the quantization error, scaled by the sine of the angle between the location of the object and the virtual view in the 3D scene, formed at the reference camera location. In the majority of cases the horizontal and vertical displacement errors induced at a pixel location of a reconstructed 360° viewpoint comprising the immersion environment are respectively proportional to 3/5 and 1/5 of the respective quantization error. Also, the distance between the reference view and the synthesized view severely increases the displacement error. Following these observations: displacement error values can be predicted for given pixel coordinates and quantization error, and this can serve as a first step towards modeling the relationship between the encoding rate of reference views and the quality of synthesized views.
    Citation
    Aksu R, Chakareski J, Velisavljevic V (2019) 'Displacement error analysis of 6-DoF virtual reality', 13th International Conference on Distributed Smart Cameras - Trento , ACM.
    Publisher
    ACM
    URI
    http://hdl.handle.net/10547/624163
    DOI
    10.1145/3349801.3349812
    Additional Links
    https://dl.acm.org/doi/abs/10.1145/3349801.3349812
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781450371896
    ae974a485f413a2113503eed53cd6c53
    10.1145/3349801.3349812
    Scopus Count
    Collections
    Computing

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