Conference paper Open Access

Subjective quality assessment of textured human full-body 3D-reconstructions

Zioulis Nikolaos; Doumanoglou, Alexandros; Christakis, Emmanouil; Zarpalas, Dimitrios; Daras, Petros


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1319964", 
  "title": "Subjective quality assessment of textured human full-body 3D-reconstructions", 
  "issued": {
    "date-parts": [
      [
        2018, 
        7, 
        24
      ]
    ]
  }, 
  "abstract": "<p>Geometry and texture resolution are two common system parameters of any modern volumetric 3D reconstruction pipeline. In tele-immersive applications, besides their apparent impact on the visual quality of the output 3D mesh, their absolute values implicitly influence the computational load of the whole tele-immersion pipeline from acquisition to 3D reconstruction, compression and transmission. Thus, tuning those parameters to an optimal combination has evident benefits. In this paper, we conduct a subjective experiment to assess the visual quality of textured human 3D-reconstructed meshes that are produced by a volumetric 3D reconstruction algorithm as a joint function of the geometry and texture resolution production parameters. The experiment is based on the forced choice pairwise comparison methodology on prerendered views of the real-time reconstructed meshes within the context of human performance capture. We analyze the pairwise comparison data and establish a ranking of the parameter space and, thus also, a mapping from the parameters to the subjective visual quality. The results of this study may be utilized to tune the parameters of the real-time 3D reconstruction pipeline, optimizing for the best balance between visual quality, bandwidth and overall performance.</p>", 
  "author": [
    {
      "family": "Zioulis Nikolaos"
    }, 
    {
      "family": "Doumanoglou, Alexandros"
    }, 
    {
      "family": "Christakis, Emmanouil"
    }, 
    {
      "family": "Zarpalas, Dimitrios"
    }, 
    {
      "family": "Daras, Petros"
    }
  ], 
  "type": "paper-conference", 
  "id": "1319964"
}
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