Demographic effects on estimates of automatic face recognition performance-Reference-Cited by-同舟云学术

Demographic effects on estimates of automatic face recognition performance

Published:2012-03 Issue:3 Volume:30 Page:169-176
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

O'Toole Alice J.,Phillips P. Jonathon,An Xiaobo,Dunlop Joseph

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference12 articles.

1. FRVT 2006 and ICE 2006 large-scale results;Phillips;IEEE Trans. Pattern Anal. Mach. Intell.,2010

2. Face recognition across pose and illumination;Gross,2005

3. P.J. Phillips, P.J. Flynn, T. Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, W. Worek, Overview of the face recognition grand challenge, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, pp. 947–954.

4. The FERET evaluation methodology for face-recognition algorithms;Phillips;IEEE Trans. Pattern Anal. Mach. Intell.,2000

5. Face Recognition Vendor Test 2002: Evaluation Report;Phillips,2003

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Toward Identity-Invariant Facial Expression Recognition: Disentangled Representation via Mutual Information Perspective;IEEE Access;2024

2. A framework for covariate-specific ROC curve estimation, with application to biometric recognition;The Annals of Applied Statistics;2023-12-01

3. In-Group Bias in Deep Learning-Based Face Recognition Models Due to Ethnicity and Age;IEEE Transactions on Technology and Society;2023-03

4. An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes;Journal of the American Medical Informatics Association;2022-05-12

5. SELM: Siamese extreme learning machine with application to face biometrics;Neural Computing and Applications;2022-03-15