Machine Learning Approaches to Facial Recognition: A Survey
Author:
Affiliation:
1. National University,College of Computing and Information Technologies,Manila,Philippines
2. University of the Philippines Open University,Faculty of Information and Communication Studies,Laguna,Philippines
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10049840/10049805/10049964.pdf?arnumber=10049964
Reference73 articles.
1. Robust face recognition under varying illumination and occlusion considering structured sparsity;wei;2012 International Conference on Digital Image Computing Techniques and Applications (DICTA),2017
2. A $P recognizer for automatic facial emotion recognition using Kinect sensor
3. Illumination-insensitive face recognition using symmetric shape-from-shading
4. Biometric template protection for neural-network-based face recognition systems: A survey of methods and evaluation techniques;hahn,2021
5. Wildest faces: Face detection and recognition in violent settings;yucel,2018
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