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• W2563374830 abstract "Automated face recognition (AFR) aims to identify people in images or videos using pattern recognition techniques. Automated face recognition is widely used in applications ranging from social media to advanced authentication systems. Whilst techniques for face recognition are well established, the automatic recognition of faces captured by digital cameras in unconstrained, real‐world environment is still very challenging, since it involves important variations in both acquisition conditions as well as in facial expressions and in pose changes. Thus, this chapter introduces the topic of computer automated face recognition in light of the main challenges in that research field and the developed solutions and applications based on image processing and artificial intelligence methods." @default.
• W2563374830 created "2017-01-06" @default.
• W2563374830 creator A5016748270 @default.
• W2563374830 date "2016-12-14" @default.
• W2563374830 modified "2023-10-01" @default.
• W2563374830 title "Automated Face Recognition: Challenges and Solutions" @default.
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• W2563374830 doi "https://doi.org/10.5772/66013" @default.
• W2563374830 hasPublicationYear "2016" @default.
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