Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-06-23 000000m 10:36:15 - Overview

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Name (Institute + Shorttitle)3D Mask Attack Dataset 
Description (include details on usage, files and paper references)The 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for both real-access and spoofing attacks. Each frame consists of:

- a depth image (640x480 pixels 1x11 bits)
- the corresponding RGB image (640x480 pixels 3x8 bits)
- manually annotated eye positions (with respect to the RGB image).

The data is collected in 3 different sessions for all subjects and for each session 5 videos of 300 frames are captured. The recordings are done under controlled conditions, with frontal-view and neutral expression. The first two sessions are dedicated to the real access samples, in which subjects are recorded with a time delay of ~2 weeks between the acquisitions. In the third session, 3D mask attacks are captured by a single operator (attacker). 
URL Link 
Files (#)76500 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)3d biometry face recognition segmentation frontview emotion 
Last Changed2017-06-23 
Turing (2.12+3.25=?) :-)