Conference paper Open Access

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

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


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <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:date>2018-07-24</dc:date>
  <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:identifier>https://zenodo.org/record/1319964</dc:identifier>
  <dc:identifier>10.5281/zenodo.1319964</dc:identifier>
  <dc:identifier>oai:zenodo.org:1319964</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/761699/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.1319963</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Visual Quality Assessment</dc:subject>
  <dc:subject>3D Reconstruction</dc:subject>
  <dc:subject>Tele-immersion</dc:subject>
  <dc:subject>Virtual Reality (VR)</dc:subject>
  <dc:title>Subjective quality assessment of textured human full-body 3D-reconstructions</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>
64
56
views
downloads
All versions This version
Views 6464
Downloads 5656
Data volume 115.2 MB115.2 MB
Unique views 5555
Unique downloads 5353

Share

Cite as