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Effect of subject's age and gender on face recognition results

  • Published:2019-04 Issue: Volume:60 Page:116-122
  • ISSN:1047-3203
  • Container-title:Journal of Visual Communication and Image Representation
  • language:en
  • Short-container-title:Journal of Visual Communication and Image Representation

Author:

wu Shifeng,Wang Dahu

Funder

Department of Education of Guangdong Province

Ministry of education

National Natural Science Foundation of China Youth Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference38 articles.

1. Comparison between geometry-based and gabor-wavelets-based facial expression recognition using multi-layer perceptron;Zhang,1998

2. Face recognition using eigenfaces;Turk,1991

3. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images;Cheng;IEEE Trans. Geosci. Remote Sens.,2016

4. Pentland, Alex, Baback Moghaddam, Thad Starner. View-based and modular eigenspaces for face recognition; 1994.

5. Deformable templates for face recognition;Yuille;J. Cogn. Neurosci.,1991

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1. Facial Recognition Unlocking Potential Facing Challenges in Face and Gender Identification;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

2. Towards affective computing that works for everyone;2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII);2023-09-10

3. Biometrics-Based Mobile User Authentication for the Elderly: Accessibility, Performance, and Method Design;International Journal of Human–Computer Interaction;2023-01-01

4. A Study on the Effect of Ageing in Facial Authentication and the Utility of Data Augmentation to Reduce Performance Bias Across Age Groups;IEEE Access;2023

5. Towards affective computing that works for everyone;INT CONF AFFECT;2023
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