In this paper, we present a novel perception-driven hybrid rendering method leveraging the limitation of the human visual system (HVS). Features accounted in our model include: foveation from the visual acuity eccentricity (VAE), depth of field (DOF) from vergence & accommodation, and longitudinal chromatic aberration (LCA) from color vision. To allocate computational workload efficiently, first we apply a gaze-contingent geometry simplification. Then we convert the coordinates from screen space to polar space with a scaling strategy coherent with VAE. Upon that, we apply a stochastic samplingbased on DOF. Finally, we post-process the Bokeh for DOF, which can at the same time achieve LCA and anti-aliasing. A virtual reality (VR) experiment on 6 Unity scenes with a head-mounted display (HMD) HTC VIVE Pro Eye yields frame rates range from 25.2 to 48.7 fps. Objective evaluation with FovVideoVDP - a perceptual based visible difference metric - suggests that the proposed method gives satisfactory just-objectionable-difference (JOD) scores across 6 scenes from 7.61 to 8.69 (in a 10 unit scheme). Our method achieves better performance compared with the existing methods while having the same or better level of quality scores.


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    Titel :

    Perception-Driven Hybrid Foveated Depth of Field Rendering for Head-Mounted Displays


    Beteiligte:
    Liu, Jingyu (Autor:in) / Mantel, Claire (Autor:in) / Forchhammer, Søren (Autor:in)

    Erscheinungsdatum :

    2021-01-01


    Anmerkungen:

    Liu , J , Mantel , C & Forchhammer , S 2021 , Perception-Driven Hybrid Foveated Depth of Field Rendering for Head-Mounted Displays . in Proceedings of 2021 IEEE International Symposium on Mixed and Augmented Reality . IEEE , 2021 IEEE International Symposium on Mixed and Augmented Reality , Bari , Italy , 04/10/2021 . https://doi.org/10.1109/ISMAR52148.2021.00014



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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