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arXiv · 1811.00116

Face Recognition: From Traditional to Deep Learning Methods

Daniel Sáez Trigueros·Li Meng·Margaret Hartnett
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Abstract

Starting in the seventies, face recognition has become one of the most researched topics in computer vision and biometrics. Traditional methods based on hand-crafted features and traditional machine learning techniques have recently been superseded by deep neural networks trained with very large datasets. In this paper we provide a comprehensive and up-to-date literature review of popular face recognition methods including both traditional (geometry-based, holistic, feature-based and hybrid methods) and deep learning methods.

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Daniel Sáez Trigueros, Li Meng, Margaret Hartnett. 2018-10-31. Face Recognition: From Traditional to Deep Learning Methods. https://arxiv.org/abs/1811.00116

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