Kavli Affiliate: Wei Gao
| First 5 Authors: Songlin Fan, Wei Gao, , ,
| Summary:
Recently, widespread 3D graphics (e.g., point clouds and meshes) have drawn
considerable efforts from academia and industry to assess their perceptual
quality by conducting subjective experiments. However, lacking a handy software
for 3D subjective experiments complicates the construction of 3D graphics
quality assessment datasets, thus hindering the prosperity of relevant fields.
In this paper, we develop a powerful platform with which users can flexibly
design their 3D subjective methodologies and build high-quality datasets,
easing a broad spectrum of 3D graphics subjective quality study. To accurately
illustrate the perceptual quality differences of 3D stimuli, our software can
simultaneously render the source stimulus and impaired stimulus and allows both
stimuli to respond synchronously to viewer interactions. Compared with amateur
3D visualization tool-based or image/video rendering-based schemes, our
approach embodies typical 3D applications while minimizing cognitive overload
during subjective experiments. We organized a subjective experiment involving
40 participants to verify the validity of the proposed software. Experimental
analyses demonstrate that subjective tests on our software can produce
reasonable subjective quality scores of 3D models. All resources in this paper
can be found at https://openi.pcl.ac.cn/OpenDatasets/3DQA.
| Search Query: ArXiv Query: search_query=au:”Wei Gao”&id_list=&start=0&max_results=3