Illumination Invariant Face Recognition: A Survey

Illumination Invariant Face Recognition: A Survey

Chi Ho Chan (University of Surrey, UK), Xuan Zou (University of Surrey, UK), Norman Poh (University of Surrey, UK) and Josef Kittler (University of Surrey, UK)
Copyright: © 2018 |Pages: 22
DOI: 10.4018/978-1-5225-5204-8.ch003
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Abstract

Illumination variation is one of the well-known problems in face recognition, especially in uncontrolled environments. This chapter presents an extensive and up-to-date survey of the existing techniques to address this problem. This survey covers the conventional passive techniques that attempt to solve the illumination problem by studying the visible light images, in which face appearance has been altered by varying illumination, as well as the active techniques that aim to obtain images of face modalities invariant to environmental illumination.
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2. Passive Approaches

Passive approaches can be divided into four groups: illumination variation modelling, illumination invariant features, photometric normalisation, and 3D morphable model. The performance of typical passive approaches is presented in Table 1.

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