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Proceedings Paper

A method for spatially weighted image brightness normalization for face verification
Author(s): Serhii A. Iliukhin; Timofey S. Chernov; Dmitry V. Polevoy; Fedor A. Fedorenko
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Paper Abstract

Despite the major advances, the accuracy of modern face verification systems depends on the lighting conditions. The variability of illumination can be compensated either by performing image preprocessing or by training more robust verification models. Nowadays, great priority is given to the development of neural network classifiers, while the importance of image preprocessing is being undeservedly neglected. This article proposes a method for spatially weighted brightness normalization of grayscale face images which preserves the relevant image information. An experimental study is performed to demonstrate the effects of various methods for brightness normalization on the accuracy of the neural network classifier in the application of face verification. It is shown that brightness normalization can improve the face verification accuracy for images captured in complex illumination conditions, that is, to compensate for samples that were not fully present in the training data.

Paper Details

Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104118 (15 March 2019); doi: 10.1117/12.2522922
Show Author Affiliations
Serhii A. Iliukhin, Smart Engines Ltd. (Russian Federation)
Federal Research Ctr. (Russian Federation)
Timofey S. Chernov, Smart Engines Ltd. (Russian Federation)
Federal Research Ctr. (Russian Federation)
Dmitry V. Polevoy, Smart Engines Ltd. (Russian Federation)
National Univ. of Science and Technology (Russian Federation)
Federal Research Ctr. (Russian Federation)
Fedor A. Fedorenko, Institute for Information Transmission Problems (Russian Federation)

Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)

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