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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        <foaf:name>Doumanoglou, Alexandros</foaf:name>
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        <foaf:name>Christakis, Emmanouil</foaf:name>
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        <foaf:name>Zarpalas, Dimitrios</foaf:name>
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        <foaf:name>Daras, Petros</foaf:name>
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    <dct:title>Subjective quality assessment of textured human full-body 3D-reconstructions</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued>
    <dcat:keyword>Visual Quality Assessment</dcat:keyword>
    <dcat:keyword>3D Reconstruction</dcat:keyword>
    <dcat:keyword>Tele-immersion</dcat:keyword>
    <dcat:keyword>Virtual Reality (VR)</dcat:keyword>
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        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
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    <dct:description>&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;</dct:description>
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