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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    <subfield code="a">Visual Quality Assessment</subfield>
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    <subfield code="a">3D Reconstruction</subfield>
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    <subfield code="a">Tele-immersion</subfield>
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    <subfield code="a">Virtual Reality (VR)</subfield>
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    <subfield code="d">29 May - 01 June 2018</subfield>
    <subfield code="g">QoMEX</subfield>
    <subfield code="p">3</subfield>
    <subfield code="a">International Conference on Quality of Multimedia Experience</subfield>
    <subfield code="c">Sardinia, Italy</subfield>
    <subfield code="n">OS5 – Video &amp; 3D</subfield>
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    <subfield code="u">CERTH/ITI, Centre for Research and Technology Hellas - Information Technologies Institute</subfield>
    <subfield code="a">Zarpalas, Dimitrios</subfield>
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    <subfield code="a">Zioulis Nikolaos</subfield>
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    <subfield code="a">Subjective quality assessment of textured human full-body 3D-reconstructions</subfield>
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    <subfield code="a">&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;</subfield>
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