Does modern facial feature extraction network need face normalization? A study on K-Face dataset

Sanghoon Lee

doi:10.1117/12.2624816

30 April 2022 Does modern facial feature extraction network need face normalization? A study on K-Face dataset

Sanghoon Lee

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121771S (2022) https://doi.org/10.1117/12.2624816
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

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.

Citation Download Citation

Sanghoon Lee "Does modern facial feature extraction network need face normalization? A study on K-Face dataset", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121771S (30 April 2022); https://doi.org/10.1117/12.2624816

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