19 March 2008 Illumination normalization for face recognition using the census transform
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Abstract
A problem with face recognition is that lighting conditions can affect performance since facial features are easily distorted by varying illumination conditions. To address this problem, we present a new preprocessing method using the census transform. In the proposed method, we generate a number of binary values from the current pixel by comparing it with the neighbor pixels, and encode the binary values into a single gray scale image. Finally, we apply the principal component analysis (PCA) to the gray scale images. Experiments show that the proposed method provides promising results.
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Ji Hoon Kim, Jong Geun Park, and Chulhee Lee "Illumination normalization for face recognition using the census transform", Proc. SPIE 6814, Computational Imaging VI, 681416 (19 March 2008); doi: 10.1117/12.776193; https://doi.org/10.1117/12.776193
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