## 3 Evaluation  
### Databases  
Many images coming from different databases both, public and private, were used in this evaluation. The choice of databases aimed to cover as many of the most realistic cases of use as possible. Accordingly, the images present different degrees of difficulty regarding to pose, scale, background, lighting conditions, appearance, accessories and expressions. In particular, BioID ([24]), \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Type** & **Output Size** & **\#1\(\times\)1** & \
\begin{tabular}{c} **\#3\(\times\)3** \\ **Reduce** \\ \end{tabular} & **\#3\(\times\)3** &
\begin{tabular}{c} **\#5\(\times\)5** \\ **Reduce** \\ \end{tabular} & **\#5\(\times\)5** & **Pool Proj** \\ \hline conv1 (7\(\times\)7\(\times\)3,2) & 48\(\times\)48\(\times\)64 & & & & & & m 3\(\times\)3,2 \\ max pool + norm & 24\(\times\)24\(\times\)64 & & & & & & m 3\(\times\)3,2 \\ inception (2) & 24\(\times\)24\(\times\)192 & & 64 & 192 & & & & m 3\(\times\)3,2 \\ norm + max pool & 12\(\times\)12\(\times\)192 & & & & & & & m 3\(\times\)3,2 \\ inception (3a) & 12\(\times\)12\(\times\)256 & 64 & 96 & 128 & 16 & 32 & m, 32p \\ inception (3b) & 12\(\times\)12\(\times\)320 & 64 & 96 & 128 & 32 & 64 & \(\ell_{2}\), 64p \\ inception (3c) & 6\(\times\)6\(\times\)640 & & 128 & 256,2 & 32 & 64.2 & m 3\(\times\)3,2 \\ inception (5a) & 3\(\times\)3\(\times\)384 & 128 & 64 & 192 & & & \(\ell_{2}\), 64p \\ inception (5b) & 3\(\times\)3\(\times\)384 & 128 & 64 & 192 & & & m, 64p \\ avg pool & 384 & & & & & & \\ linear & 128 & & & & & & \\ \(\ell_{2}\) normalisation & 128 & & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: gb2s_Model1 network architecture. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Type** & **Output Size** & **\#1\(\times\)1** & \ \begin{tabular}{c} **\#3\(\times\)3** \\ **Reduce** \\ \end{tabular}  & **\#3\(\times\)3** & \begin{tabular}{c} **\#5\(\times\)5** \\ **Reduce** \\ \end{tabular}  & **\#5\(\times\)5** & **Pool Proj** \\ \hline conv1 (7\(\times\)7\(\times\)3,2) & 48\(\times\)48\(\times\)64 & & & & & & m 3\(\times\)3,2 \\ max pool + norm & 24\(\times\)24\(\times\)64 & & & & & & m 3\(\times\)3,2 \\ max pool + norm & 24\(\times\)24\(\times\)64 & & & & & & m 3\(\times\)3,2 \\ inception (2) & 24\(\times\)24\(\times\)192 & & 64 & 192 & & & \\ norm + max pool & 12\(\times\)12\(\times\)192 & & & & & & m 3\(\times\)3,2 \\ inception (3a) & 12\(\times\)12\(\times\)256 & 64 & 96 & 128 & 16 & 32 & m, 32p \\ inception (3b) & 12\(\times\)12\(\times\)320 & 64 & 96 & 128 & 32 & 64 & \(\ell_{2}\), 64p \\ inception (3c) & 6\(\times\)6\(\times\)640 & & 128 & 256,2 & 32 & 64.2 & m 3\(\times\)3,2 \\ inception (4a) & 6\(\times\)6\(\times\)6\(\times\)312 & 128 & 48 & 96 & 16 & 32 & \(\ell_{2}\), 56p \\ inception (4e) & 6\(\times\)6\(\times\)504 & & 80 & 128,2 & 32 & 64.2 & mEUCFI ([25]), ORL ([26]), Extended Yale B ([27]), Print-Attack ([28]) and gb2s\(\mu\)MOD_Face_Dataset ([29]) were used together with three proprietary datasets:  
* gb2 sTablet: A set of 250 frames coming from the gb2 sTablet_Face_Dataset which is part of the proprietary gb2 sTablet_Database. It contains images from 60 people captured in an indoor environment using artificial lighting and simple but uncontrolled backgrounds. Images were recorded in a frontal position but without restrictions about the distance to the camera, appearance or accessories. The size of the images is 320 \(\times\) 240 px. * gb2s_Selfies: A proprietary database oriented to emulate real daily-life scenarios. Accordingly, this dataset shows different illumination conditions and backgrounds, possible presence and absence of glasses, hear variations, or expressions. Twenty-six individuals participated in the database creation and 10 images per person were recorded in 10 different sessions, one image per day. Each person captured images of his/her face using the frontal camera of his/her own mobile phone the more frontal as possible (Selfie position).