20 citations · 28 across the 8 of their papers we have counts for
4 papers · 1 filter
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models
Biying Fu, Naser Damer
It is challenging to derive explainability for unsupervised or statistical-based face image quality assessment (FIQA) methods. In this work, we propose a novel set of explainabilit…
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
Fadi Boutros, Meiling Fang, Marcel Klemt +2
The quality of face images significantly influences the performance of underlying face recognition algorithms. Face image quality assessment (FIQA) estimates the utility of the cap…
The Effect of Wearing a Face Mask on Face Image Quality
Biying Fu, Florian Kirchbuchner, Naser Damer
Due to the COVID-19 situation, face masks have become a main part of our daily life. Wearing mouth-and-nose protection has been made a mandate in many public places, to prevent the…
A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics
Biying Fu, Cong Chen, Olaf Henniger +1
Quality scores provide a measure to evaluate the utility of biometric samples for biometric recognition. Biometric recognition systems require high-quality samples to achieve optim…