Computer Vision in Control Systems-4 by Margarita N. Favorskaya & Lakhmi C. Jain

Author:Margarita N. Favorskaya & Lakhmi C. Jain
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

(6.1)

where k = (k 1, k 2,…, k N )T is the weight coefficient, A i is an array of images of subject i, x and z are current and expected illumination parameters, respectively, ε is a small constant (ε = 1), which is used in the case of being divided by zero [16].

The experimental results [16] show that current method may be used for illumination normalization of facial images as preprocessing in face recognition methods.

In continuation of works [15, 16, 18], the paper [19] presents the implementation of Empirical Mode Decomposition (EMD) [20] for illumination preprocessing of facial images. This method can adaptively decompose a complex signal into Intrinsic Mode Functions (IMFs), which are relevant to intrinsic physical significances. A face image may be represented as Lambertian reflectance assumption [15]:

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