Facial recognition refers to the application of automatically identifying or verifying a person from face images and videos. Face verification aims at arbitrating if a pair of faces is from the same person or not. While face identification focuses on predicting the identity of a query face given a gallery face dataset with known identities, there are lots of applications of facial recognition technologies, in domains such as security, justice, social networks, military operations, etc.
While early face recognition technologies dealt with face images taken from well-controlled environment, the current focus in facial recognition research is pushing the frontier in handling real-world face images/videos taken from uncontrolled environment. There are two major unconstrained visual sources: (1) face images and videos taken by users and shared on the internet, such as those images uploaded to Facebook, and (2) face videos taken from surveillance cameras.
In these unconstrained domain visual...
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Further Readings
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Chen, D., et al. (2012). Bayesian face revisited: A joint formulation. In Proceedings of European Conference on Computer Vision.
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Yang, J., et al. Neural aggregation network for video face recognition. http://arxiv.org/abs/1603.05474
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Hua, G. (2017). Facial Recognition Technologies. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_93-1
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