Name
Abstract | ||
|---|---|---|
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 pre-rendered 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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/QoMEX.2018.8463385 | 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) |
Keywords | Field | DocType |
volumetric 3D reconstruction pipeline,textured human 3D-reconstructed mesh,real-time 3D reconstruction pipeline,subjective visual quality,parameter space,pairwise comparison data,human performance capture,forced choice pairwise comparison methodology,texture resolution production parameters,volumetric 3D reconstruction algorithm,subjective experiment,tele-immersion pipeline,output 3D mesh,tele-immersive applications,textured human full-body 3D-reconstructions,subjective quality assessment | Iterative reconstruction,Motion capture,Computer vision,Pairwise comparison,Polygon mesh,Ranking,Computer science,Visualization,Artificial intelligence,Image resolution,3D reconstruction | Conference |
ISBN | Citations | PageRank |
978-1-5386-2606-1 | 0 | 0.34 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandros Doumanoglou | 1 | 12 | 6.33 |
| Nikolaos Zioulis | 2 | 2 | 1.39 |
| Emmanouil Christakis | 3 | 0 | 0.68 |
| Dimitrios Zarpalas | 4 | 303 | 33.96 |
| Petros Daras | 5 | 1129 | 131.72 |