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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  <dc:creator>Zioulis Nikolaos</dc:creator>
  <dc:creator>Doumanoglou, Alexandros</dc:creator>
  <dc:creator>Christakis, Emmanouil</dc:creator>
  <dc:creator>Zarpalas, Dimitrios</dc:creator>
  <dc:creator>Daras, Petros</dc:creator>
  <dc:description>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.</dc:description>
  <dc:subject>Visual Quality Assessment</dc:subject>
  <dc:subject>3D Reconstruction</dc:subject>
  <dc:subject>Virtual Reality (VR)</dc:subject>
  <dc:title>Subjective quality assessment of textured human full-body 3D-reconstructions</dc:title>
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