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Unconstrained Face Recognition

Unconstrained Face Recognition

Stefanos Zafeiriou, Irene Kotsia, Maja Pantic
Copyright: © 2018 |Pages: 22
ISBN13: 9781522552048|ISBN10: 1522552049|EISBN13: 9781522552055
DOI: 10.4018/978-1-5225-5204-8.ch068
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MLA

Zafeiriou, Stefanos, et al. "Unconstrained Face Recognition." Computer Vision: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1640-1661. https://doi.org/10.4018/978-1-5225-5204-8.ch068

APA

Zafeiriou, S., Kotsia, I., & Pantic, M. (2018). Unconstrained Face Recognition. In I. Management Association (Ed.), Computer Vision: Concepts, Methodologies, Tools, and Applications (pp. 1640-1661). IGI Global. https://doi.org/10.4018/978-1-5225-5204-8.ch068

Chicago

Zafeiriou, Stefanos, Irene Kotsia, and Maja Pantic. "Unconstrained Face Recognition." In Computer Vision: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1640-1661. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5204-8.ch068

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Abstract

The human face is the most well-researched object in computer vision, mainly because (1) it is a highly deformable object whose appearance changes dramatically under different poses, expressions, and, illuminations, etc., (2) the applications of face recognition are numerous and span several fields, (3) it is widely known that humans possess the ability to perform, extremely efficiently and accurately, facial analysis, especially identity recognition. Although a lot of research has been conducted in the past years, the problem of face recognition using images captured in uncontrolled environments including several illumination and/or pose variations still remains open. This is also attributed to the existence of outliers (such as partial occlusion, cosmetics, eyeglasses, etc.) or changes due to age. In this chapter, the authors provide an overview of the existing fully automatic face recognition technologies for uncontrolled scenarios. They present the existing databases and summarize the challenges that arise in such scenarios and conclude by presenting the opportunities that exist in the field.

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