The PubFig data set is both larger (60,000 images) and deeper (on average 300 images per individual) than existing data sets, and allows us to present verification results broken out by pose, illumination, and expression.
The applied divisions are n images per individual for training and 170 - n images per individual for testing, where n = 5, 10, 20, and 30.
The applied divisions are n images per individual for training and 15 - n images per individual for testing, where n = 5, 6, 7, and 8. Furthermore, the experimental results were averaged over ten random sets for each division.
The applied divisions are n images per individual for training and 11 - n images per individual for testing, where n = 2, 3, 4, and 5. Furthermore, the experimental results are averaged over 20 random sets for each division.
The applied divisions are n images per individual for training and 10 - n images per individual for testing, where n = 2, 3, 4, and 5. Furthermore, experimental results are averaged over 20 random sets for each division.
In [7], a method with a gallery of 15 images per individual which covers pose variability with ±40° in yaw and ±20° in tilt has been proposed.
There are 11 images per individual, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink as shown in Figure 3.
Fifty cells were imaged per individual cell line.
The threshold of background was applied uniformly to single-channel images per individual cells so that the intensity of EEA1 did not include the diffuse background staining.
