Unconstrained Face Recognition

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Author(s): Stefanos Zafeiriou (Imperial College London, UK), Irene Kotsia (Middlesex University London, UK & Imperial College London, UK)and Maja Pantic (Imperial College London, UK and University of Twente, EEMCS, The Netherlands)
Copyright: 2018
Pages: 22
Source title: Computer Vision: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5204-8.ch068

Keywords: Computer Science & IT / Computer Vision & Image Processing / Information Science Reference / Systems and Software Engineering

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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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