If the client wears eye-glasses, there will be another 25 videos. The scene covers 5 different illumination conditions in office environment.

The standoff distance between face and camera is about 30-50 cm.įor genuine face video, normally there are 25 videos (5 devices with 5 scenes).

All face videos are captured by a front-facing camera. Five mobile phones were used to collect the database: (a) Hasee smart-phone (with resolution of 640 * 480), (b) Huawei Smart-phone (with resolution of 640 * 480), (c) iPad 4 (with resolution of 640 * 480), (d) iPhone 5s (with resolution of 1280 * 720) and (e) ZTE smart-phone (with resolution of 1280 * 720).

It also includes a new Client-Specific One-Class Domain Adaptation Protocol with an additional 1.25GB of pre-processed data.įor each subject, there are 150-200 video clips with the average duration around 10 seconds. The ROSE-Youtu Face Liveness Detection Database (ROSE-Youtu) consists of 4225 videos with 25 subjects in total (3350 videos with 20 subjects publically available with 5.45GB in size).

We introduce a new and comprehensive face anti-spoofing database, ROSE-Youtu Face Liveness Detection Database, which covers a large variety of illumination conditions, camera models, and attack types. ROSE-Youtu Face Liveness Detection Dataset

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