Face image quality vector assessment for biometrics applications
In this paper, we propose a multi-task convolutional neural network which produces an
image quality vector for an input face image. This image quality vector contains the face …
image quality vector for an input face image. This image quality vector contains the face …
State of the art of quality assessment of facial images
J Merkle, C Rathgeb, B Tams, DP Lou, A Dörsch… - arxiv preprint arxiv …, 2022 - arxiv.org
The goal of the project" Facial Metrics for EES" is to develop, implement and publish an
open source algorithm for the quality assessment of facial images (OFIQ) for face …
open source algorithm for the quality assessment of facial images (OFIQ) for face …
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration
Abstract Face Image Quality Assessment (FIQA) is pivotal for guaranteeing the accuracy of
face recognition in unconstrained environments. Recent progress in deep quality-fitting …
face recognition in unconstrained environments. Recent progress in deep quality-fitting …
[HTML][HTML] Comprehensive Review and Future Research Directions on ICT Standardisation
Standardisation has become imperative to retaining order and development in modern
society. The simplest actions, such as train timings and the width of the railroad, would be …
society. The simplest actions, such as train timings and the width of the railroad, would be …
E2F-GAN: Eyes-to-face inpainting via edge-aware coarse-to-fine GANs
Face inpainting is a challenging task aiming to fill the damaged or masked regions in face
images with plausibly synthesized contents. Based on the given information, the …
images with plausibly synthesized contents. Based on the given information, the …
Measuring bias in AI models: an statistical approach introducing N-Sigma
The new regulatory framework proposal on Artificial Intelligence (AI) published by the
European Commission establishes a new risk-based legal approach. The proposal …
European Commission establishes a new risk-based legal approach. The proposal …
FaceQgen: Semi-supervised deep learning for face image quality assessment
In this paper we develop FaceQgen 1 1 Publicly available in: https://github. com/uam-
biometrics/FaceQgen, a No-Reference Quality Assessment approach for face images based …
biometrics/FaceQgen, a No-Reference Quality Assessment approach for face images based …
Automatic validation of icao compliance regarding head coverings: an inclusive approach concerning religious circumstances
This paper contributes with a dataset and an algorithm that automatically verifies the
compliance with the ICAO requirements related to the use of head coverings on facial …
compliance with the ICAO requirements related to the use of head coverings on facial …
Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition
Identifying suspects from surveillance footage is a crucial task in forensic investigations, but
it is often hindered by the variable conditions of observation and the large amounts of data …
it is often hindered by the variable conditions of observation and the large amounts of data …
Radial Distortion in Face Images: Detection and Impact
Acquiring face images of sufficiently high quality is important for online ID and travel
document issuance applications using face recognition systems (FRS). Low-quality …
document issuance applications using face recognition systems (FRS). Low-quality …