We analyzed the effect of face normalization function on face recognition. In detail, the effect of face normalization on identification accuracy was analyzed for two different feature extraction networks. Identification protocol using K-Face dataset was designed to train and test. The positive effect of face normalization on large pose was examined. However, normalization had a negative impact on modern feature extraction network. In conclusion, it was expected that the performance improvement could be achieved only when more precise face normalization modules were added to the advanced feature extraction network.
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