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This paper investigates the impact of level of detail (LOD) and viewing distance on user perception of dynamic 3D meshes in VR through a subjective quality assessment. They found that up to 50% of mesh faces can be removed without significant QoE degradation and that existing objective metrics poorly correlate with subjective scores. Based on the collected dataset, the authors developed a QoE prediction model and a QoE-aware resource allocation framework that outperforms conventional methods.
You can slash the complexity of VR meshes by 50% without users even noticing, but current quality metrics won't tell you that.
A dynamic 3D mesh is a key component in Virtual Reality applications. However, this type of content demands a significant processing resource for real-time rendering. To reduce processing requirements while preserving the user experience, adjusting the level of detail of 3D meshes based on viewing distance has been proposed. In this paper, we conduct an extensive subjective quality evaluation to investigate the effects of the level of detail and viewing distance on user perception of dynamic 3D meshes in a VR environment. Our evaluation results in a subjective dataset containing user ratings of 320 test stimuli generated from eight dynamic 3D meshes. Result analysis shows that it is possible to remove half of a mesh's faces without causing noticeable degradation in user Quality of Experience (QoE). An evaluation of popular objective quality metrics reveals that both 2D-based and 3D-based metrics have low correlation with subjective scores. Based on the subjective dataset, we develop a novel QoE prediction model that can accurately predict the MOS of a dynamic 3D mesh at a given level of detail and viewing distance. In addition, a QoE-aware resource allocation framework is proposed and evaluated under different resource constraints, showing significant improvement in the total QoE compared to conventional methods.