Computational Intelligence and Neuroscience / 2016 / Article / Tab 2 / Research Article
Pose-Invariant Face Recognition via RGB-D Images Table 2 Recognition rates of different methods on the pose-expression subset of the CurtinFaces database.
Pose
COV+LBP [13 ] DCT+SRC [11 ]
RSRC [14 ] Proposed method Depth Texture Fusion Depth Texture Fusion Frontal N/A 100% 100% 100% 100% 100% 100% 100% ±30° yaw 94.2% 88.3% 99.8% 99.4% 99.4% 88.5% 99.5% 99.5% ±60° yaw 84.6% 87.0% 97.4% 98.2% 98.2% 87.7% 97.5% 98.4% ±90° yaw 75.0% 74.0% 83.7% 84.6% 93.5% 78.5% 94.0% 95.1% ±60° pitch N/A 81.6% 89.1% 92.8% N/A 82.5% 94.3% 96.7%
For COV+LBP, a subset of pose-variation of the CurtinFaces is used. For RSRC, we report the average of the best results at the same yaw pose obtained by the method.