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doi: 10.34777/4vzy-cd12
ERPA is a dataset for multi-spectral face recognition and presentation attack detection (anti-spoofing). The dataset contains face-image data from 5 subjects. For each subject, images have been captured with two cameras – the Intel Realsense SR300, and the Xenics Gobi thermal (LWIR) camera.
3D rigid resine masks, RGB, biometrics, presentation attacks, Thermal, Depth, Near-InfraRed (NIR), spoofing, 3D masks, face recognition
3D rigid resine masks, RGB, biometrics, presentation attacks, Thermal, Depth, Near-InfraRed (NIR), spoofing, 3D masks, face recognition
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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