Face image quality assessment (FIQA) attempts to improve face recognition (FR) performance by providing additional information about sample quality. Because FIQA methods attempt to estimate the utility of a sample for face recognition, it is reasonable to assume that these methods are heavily influenced by the underlying face recognition system. Although modern face recognition systems are known to perform well, several studies have found that such systems often exhibit problems with demographic bias. It is therefore likely that such problems are also present with FIQA techniques. To investigate the demographic biases associated with FIQA approaches, this paper presents a comprehensive study involving a variety of quality assessment methods...
Deep learning-based person identification and verification systems have remarkably improved in terms...
Current face recognition systems achieve high progress on several benchmark tests. Despite this pr...
Although several techniques have been proposed for predicting biometric system performance using qua...
Face quality assessment aims at estimating the utility of a face image for the purpose of recognit...
Recent advances in facial recognition technology have achieved outstanding performance, but unconstr...
© 2013 IEEE. Recent studies have demonstrated that most commercial facial analysis systems are biase...
As facial recognition systems are deployed more widely, scholars and activists have studied their bi...
Within the last years Face Recognition (FR) systems have achieved human-like (or better) performance...
Although significant progress has been made in face recognition, demographic bias still exists in fa...
Measuring algorithmic bias is crucial both to assess algorithmic fairness, and to guide the improvem...
Face recognition (FR) systems have a growing effect on critical decision-making processes. Recent ...
Face Recognition (FR) is increasingly influencing our lives: we use it to unlock our phones; police ...
Although significant progress has been made in face recognition, demographic bias still exists in fa...
Systems incorporating biometric technologies have become ubiquitous in personal, commercial, and gov...
Rapid progress in automated facial recognition has led to a proliferation of the use of algorithms t...
Deep learning-based person identification and verification systems have remarkably improved in terms...
Current face recognition systems achieve high progress on several benchmark tests. Despite this pr...
Although several techniques have been proposed for predicting biometric system performance using qua...
Face quality assessment aims at estimating the utility of a face image for the purpose of recognit...
Recent advances in facial recognition technology have achieved outstanding performance, but unconstr...
© 2013 IEEE. Recent studies have demonstrated that most commercial facial analysis systems are biase...
As facial recognition systems are deployed more widely, scholars and activists have studied their bi...
Within the last years Face Recognition (FR) systems have achieved human-like (or better) performance...
Although significant progress has been made in face recognition, demographic bias still exists in fa...
Measuring algorithmic bias is crucial both to assess algorithmic fairness, and to guide the improvem...
Face recognition (FR) systems have a growing effect on critical decision-making processes. Recent ...
Face Recognition (FR) is increasingly influencing our lives: we use it to unlock our phones; police ...
Although significant progress has been made in face recognition, demographic bias still exists in fa...
Systems incorporating biometric technologies have become ubiquitous in personal, commercial, and gov...
Rapid progress in automated facial recognition has led to a proliferation of the use of algorithms t...
Deep learning-based person identification and verification systems have remarkably improved in terms...
Current face recognition systems achieve high progress on several benchmark tests. Despite this pr...
Although several techniques have been proposed for predicting biometric system performance using qua...