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 …
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 …
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 …
Faceqnet: Quality assessment for face recognition based on deep learning
J Hernandez-Ortega, J Galbally… - … on Biometrics (ICB), 2019 - ieeexplore.ieee.org
In this paper we develop a Quality Assessment approach for face recognition based on deep
learning. The method consists of a Convolutional Neural Network, FaceQnet, that is used to …
learning. The method consists of a Convolutional Neural Network, FaceQnet, that is used to …
Learning face image quality from human assessments
L Best-Rowden, AK Jain - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
Face image quality can be defined as a measure of the utility of a face image to automatic
face recognition. In this paper, we propose (and compare) two methods for learning face …
face recognition. In this paper, we propose (and compare) two methods for learning face …
Face quality estimation and its correlation to demographic and non-demographic bias in face recognition
Face quality assessment aims at estimating the utility of a face image for the purpose of
recognition. It is a key factor to achieve high face recognition performances. Currently, the …
recognition. It is a key factor to achieve high face recognition performances. Currently, the …
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 …
Re-iqa: Unsupervised learning for image quality assessment in the wild
Abstract Automatic Perceptual Image Quality Assessment is a challenging problem that
impacts billions of internet, and social media users daily. To advance research in this field …
impacts billions of internet, and social media users daily. To advance research in this field …
Quality-aware pre-trained models for blind image quality assessment
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality
of a single image, whose performance has been improved by deep learning-based methods …
of a single image, whose performance has been improved by deep learning-based methods …