Improving the Face Recognition Accuracy under Varying Illumination Conditions for Local Binary Patterns and Local Ternary Patterns Based on Weber-Face and Singular Value Decomposition
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7795839/7796594/07796605.pdf?arnumber=7796605
Cited by 7 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. FLBP: Fechner local binary pattern for face representation;The Visual Computer;2023-08-17
2. Adaptive Kernel Transform for Face Recognition Under Uneven Illumination Conditions;2021 25th International Computer Science and Engineering Conference (ICSEC);2021-11-18
3. Optimum Feature Selection with Particle Swarm Optimization to Face Recognition System Using Gabor Wavelet Transform and Deep Learning;BioMed Research International;2021-03-10
4. Face Recognition with Symmetrical Face Training Samples Based on Local Binary Patterns and the Gabor Filter;Symmetry;2019-01-31
5. A Survey on Face Recognition in Video Surveillance;Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB);2019
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