@@ -30,12 +30,14 @@ In the table below, click on the database name (or scroll down the page) to view
| [MSU Face Spoof](#msu-face-spoof) | face PAD | [bob.db.msu_mfsd_mod](https://gitlab.idiap.ch/bob/bob.db.msu_mfsd_mod) | [Description](http://www.cse.msu.edu/rgroups/biometrics/Publications/Databases/MSUMobileFaceSpoofing/index.htm) |
| [NUAA-PID](#nuaa-pid) | face PAD | [xbob.db.nuaa](https://gitlab.idiap.ch/bob/xbob.db.nuaa) | [Description](http://parnec.nuaa.edu.cn/xtan/data/nuaaimposterdb.html) |
| [Replay-Attack](#replay-attack) | face PAD | [bob.db.replay](https://gitlab.idiap.ch/bob/bob.db.replay) | [Description](http://www.idiap.ch/dataset/replayattack) |
| [Replay-Mobile](#replay-mobile) | mobile face PAD | [bob.db.replaymobile](https://gitlab.idiap.ch/bob/bob.db.replaymobile) | [Description](https://www.idiap.ch/dataset/replay-mobile) |
| [Replay-Mobile](#replay-mobile) | face PAD | [bob.db.replaymobile](https://gitlab.idiap.ch/bob/bob.db.replaymobile) | [Description](https://www.idiap.ch/dataset/replay-mobile) |
| [OULU-NPU](#oulu-npu) | face PAD | [bob.db.oulunpu](https://gitlab.idiap.ch/bob/bob.db.oulunpu) | [Description](https://sites.google.com/site/oulunpudatabase/) |
| [UVAD](#uvad) | face PAD | [bob.db.uvad](https://gitlab.idiap.ch/bob/bob.db.uvad) | [Description](http://ieeexplore.ieee.org/abstract/document/7017526/) |
@@ -170,6 +172,11 @@ NIVL is for research on VIS-NIR face recognition. It includes 574 identities fac
Print-attack database with 15 subjects, for face-PAD experiments.
### OULU-NPU
`Repository: /idiap/resource/database/oulu-npu/`
A mobile face presentation attack database with real-world variations database.
### PasC
`Repository: `
...
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@@ -192,6 +199,10 @@ Database collected at IDIAP, specifically for face-PAD (presentation-attack dete
Database collected at IDIAP in Nov. 2015, for experiments on face-PAD in mobile environments. Face-videos have been collected for each subject under diverse illumination conditions on two mobile devices: a mobile phone (LG G4, front camera) and a iPad. 40 subjects are represented in the database, which consists of 1030 video-files (including genuine and attack videos). The database-package provides a face-verification protocol as well as a face-PAD protocol. Two kinds of attacks are present in the database: print, and replay-video.