Face image quality assessment: A literature survey
The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …
acquired face data, which is influenced by numerous factors. Automatically assessing the …
Magface: A universal representation for face recognition and quality assessment
The performance of face recognition system degrades when the variability of the acquired
faces increases. Prior work alleviates this issue by either monitoring the face quality in pre …
faces increases. Prior work alleviates this issue by either monitoring the face quality in pre …
Biometric quality: Review and application to face recognition with faceqnet
" The output of a computerised system can only be as accurate as the information entered
into it." This rather trivial statement is the basis behind one of the driving concepts in …
into it." This rather trivial statement is the basis behind one of the driving concepts in …
SER-FIQ: Unsupervised estimation of face image quality based on stochastic embedding robustness
Face image quality is an important factor to enable high-performance face recognition
systems. Face quality assessment aims at estimating the suitability of a face image for the …
systems. Face quality assessment aims at estimating the suitability of a face image for the …
SDD-FIQA: Unsupervised face image quality assessment with similarity distribution distance
Abstract In recent years, Face Image Quality Assessment (FIQA) has become an
indispensable part of the face recognition system to guarantee the stability and reliability of …
indispensable part of the face recognition system to guarantee the stability and reliability of …
CR-FIQA: face image quality assessment by learning sample relative classifiability
Face image quality assessment (FIQA) estimates the utility of the captured image in
achieving reliable and accurate recognition performance. This work proposes a novel FIQA …
achieving reliable and accurate recognition performance. This work proposes a novel FIQA …
SensitiveNets: Learning agnostic representations with application to face images
This work proposes a novel privacy-preserving neural network feature representation to
suppress the sensitive information of a learned space while maintaining the utility of the …
suppress the sensitive information of a learned space while maintaining the utility of the …
Few-shot adaptation of generative adversarial networks
Generative Adversarial Networks (GANs) have shown remarkable performance in image
synthesis tasks, but typically require a large number of training samples to achieve high …
synthesis tasks, but typically require a large number of training samples to achieve high …
Qmagface: Simple and accurate quality-aware face recognition
In this work, we propose QMagFace, a simple and effective face recognition solution
(QMagFace) that combines a quality-aware comparison score with a recognition model …
(QMagFace) that combines a quality-aware comparison score with a recognition model …
Troubleshooting ethnic quality bias with curriculum domain adaptation for face image quality assessment
Abstract Face Image Quality Assessment (FIQA) lays the foundation for ensuring the stability
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …