Advances, Systems and Applications
Table 6 Influence of metrics in the weighted VQA model
From: Automated visual quality assessment for virtual and augmented reality based digital twins
Metric | Influence (%) |
|---|---|
Normal deviation, 1.0, mean | \(7.01 \pm 1.11\) |
Surface area ratio | \(5.47 \pm 1.02\) |
Normal deviation, 1.5, mean | \(5.14 \pm 0.70\) |
Convexity ratio | \(4.89 \pm 0.72\) |
Sphericity ratio | \(4.57 \pm 0.93\) |
Shape efficiency ratio | \(4.29 \pm 0.54\) |
Volume ratio | \(4.02 \pm 0.63\) |
Normal deviation, 1.0, minimum | \(2.76 \pm 0.61\) |
Normal deviation, 1.5, kurtosis | \(1.96 \pm 0.67\) |
Connectivity ratio | \(1.88 \pm 0.30\) |
Dihedral angle change, 1.0, mean | \(1.79 \pm 0.47\) |
Normal deviation, 2.0, mean | \(1.70 \pm 0.48\) |
Polygon area COV ratio | \(1.67 \pm 0.30\) |
Test mesh connectivity | \(1.57 \pm 0.23\) |
Normal deviation, 2.0, kurtosis | \(1.41 \pm 0.46\) |
Test mesh convexity | \(1.34 \pm 0.16\) |
Test mesh bounding box density | \(1.34 \pm 0.16\) |
Normal deviation, 1.0, kurtosis | \(1.32 \pm 0.45\) |
Test mesh polygon area COV | \(1.25 \pm 0.18\) |
Test mesh minor squareness | \(1.20 \pm 0.20\) |