RT Journal Article
JF IEEE Transactions on Visualization & Computer Graphics
YR 2016
VO 22
IS 8
SP 1987
TI On the Efficiency of Image Metrics for Evaluating the Visual Quality of 3D Models
A1 Guillaume Lavoue,
A1 Mohamed Chaker Larabi,
A1 Libor Vasa,
A1 undefined,
A1 undefined,
A1 undefined,
A1 undefined,
K1 Measurement
K1 Three-dimensional displays
K1 Visualization
K1 Solid modeling
K1 Computational modeling
K1 Image quality
K1 Quality assessment
K1 perceptual metrics
K1 Computer graphics
K1 image quality assessment
K1 3d mesh visual quality assessment
AB 3D meshes are deployed in a wide range of application processes (e.g., transmission, compression, simplification, watermarking and so on) which inevitably introduce geometric distortions that may alter the visual quality of the rendered data. Hence, efficient model-based perceptual metrics, operating on the geometry of the meshes being compared, have been recently introduced to control and predict these visual artifacts. However, since the 3D models are ultimately visualized on 2D screens, it seems legitimate to use images of the models (i.e., snapshots from different viewpoints) to evaluate their visual fidelity. In this work we investigate the use of image metrics to assess the visual quality of 3D models. For this goal, we conduct a wide-ranging study involving several 2D metrics, rendering algorithms, lighting conditions and pooling algorithms, as well as several mean opinion score databases. The collected data allow (1) to determine the best set of parameters to use for this image-based quality assessment approach and (2) to compare this approach to the best performing model-based metrics and determine for which use-case they are respectively adapted. We conclude by exploring several applications that illustrate the benefits of image-based quality assessment.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 1077-2626
LA English
DO 10.1109/TVCG.2015.2480079
LK http://doi.ieeecomputersociety.org/10.1109/TVCG.2015.2480079