Face recognition: Past, present and future (a review)

M Taskiran, N Kahraman, CE Erdem - Digital Signal Processing, 2020 - Elsevier
Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Face recognition: A literature survey

W Zhao, R Chellappa, PJ Phillips… - ACM computing surveys …, 2003 - dl.acm.org
As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

[BOK][B] Face recognition vendor test (fvrt): Part 3, demographic effects

P Grother, M Ngan, K Hanaoka - 2019 - pages.nist.gov
EXECUTIVE SUMMARY OVERVIEW This is the third in a series of reports on ongoing face
recognition vendor tests (FRVT) executed by the National Institute of Standards and …

Racial faces in the wild: Reducing racial bias by information maximization adaptation network

M Wang, W Deng, J Hu, X Tao… - Proceedings of the ieee …, 2019 - openaccess.thecvf.com
Racial bias is an important issue in biometric, but has not been thoroughly studied in deep
face recognition. In this paper, we first contribute a dedicated dataset called Racial Faces in …

Mitigating bias in face recognition using skewness-aware reinforcement learning

M Wang, W Deng - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Racial equality is an important theme of international human rights law, but it has been
largely obscured when the overall face recognition accuracy is pursued blindly. More facts …

System and method for sharing keys across authenticators

R Lindemann - US Patent 10,237,070, 2019 - Google Patents
US10237070B2 - System and method for sharing keys across authenticators - Google
Patents US10237070B2 - System and method for sharing keys across authenticators …

Investigating bias and fairness in facial expression recognition

T Xu, J White, S Kalkan, H Gunes - … : Glasgow, UK, August 23–28, 2020 …, 2020 - Springer
Recognition of expressions of emotions and affect from facial images is a well-studied
research problem in the fields of affective computing and computer vision with a large …

Advanced authentication techniques and applications

M Briceno, B Wilson, R Kesanupalli… - US Patent …, 2019 - Google Patents
2015-01-30 Assigned to NOK NOK LABS, INC. reassignment NOK NOK LABS, INC.
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …

AI auditing: The broken bus on the road to AI accountability

A Birhane, R Steed, V Ojewale… - … IEEE Conference on …, 2024 - ieeexplore.ieee.org
One of the most concrete measures towards meaningful AI accountability is to
consequentially assess and report the systems' performance and impact. However, the …

3d morphable face models—past, present, and future

B Egger, WAP Smith, A Tewari, S Wuhrer… - ACM Transactions on …, 2020 - dl.acm.org
In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …