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Impact of Eye Detection Error on Face Recognition Performance
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The vulnerability of face recognition systems to presentation attacks has limited their application in security-critical scenarios. Automatic methods of detecting such malicious attempts are essential for the safe use of facial recognition technology. Alth ...
Idiap2020Vulnerability of Face Recognition to Deep Morphing
It is increasingly easy to automatically swap faces in images and video or morph two faces into one using generative adversarial networks (GANs). The high quality of the resulted deep-morph raises the question of how vulnerable the current face recognition ...
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Face recognition is a mature field in biometrics in which several systems have been proposed over the last three decades.
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EPFL2019Detection of Age-Induced Makeup Attacks on Face Recognition Systems Using Multi-Layer Deep Features
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Makeup is a simple and easy instrument that can alter the appearance of a person’s face, and hence, create a presentation attack on face recognition (FR) systems. These attacks, especially the ones mimicking ageing, are difficult to detect due to their clo ...
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The human face has evolved to become the most important source of non-verbal information that conveys our affective, cognitive and mental state to others. Apart from human to human communication facial expressions have also become an indispensable componen ...
EPFL2016