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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  <identifier identifierType="DOI">10.5281/zenodo.1319964</identifier>
  <creators>
    <creator>
      <creatorName>Zioulis Nikolaos</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7898-9344</nameIdentifier>
      <affiliation>CERTH/ITI, Centre for Research and Technology Hellas - Information Technologies Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Doumanoglou, Alexandros</creatorName>
      <givenName>Alexandros</givenName>
      <familyName>Doumanoglou</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4337-1720</nameIdentifier>
      <affiliation>CERTH/ITI, Centre for Research and Technology Hellas - Information Technologies Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Christakis, Emmanouil</creatorName>
      <givenName>Emmanouil</givenName>
      <familyName>Christakis</familyName>
      <affiliation>CERTH/ITI, Centre for Research and Technology Hellas - Information Technologies Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Zarpalas, Dimitrios</creatorName>
      <givenName>Dimitrios</givenName>
      <familyName>Zarpalas</familyName>
      <affiliation>CERTH/ITI, Centre for Research and Technology Hellas - Information Technologies Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Daras, Petros</creatorName>
      <givenName>Petros</givenName>
      <familyName>Daras</familyName>
      <affiliation>CERTH/ITI, Centre for Research and Technology Hellas - Information Technologies Institute</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Subjective quality assessment of textured human full-body 3D-reconstructions</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Visual Quality Assessment</subject>
    <subject>3D Reconstruction</subject>
    <subject>Tele-immersion</subject>
    <subject>Virtual Reality (VR)</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-07-24</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1319964</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1319963</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/761699/">761699</awardNumber>
      <awardTitle>Programmable edge-to-cloud virtualization fabric for the 5G Media industry</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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