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Conference Paper Does modern facial feature extraction network need face normalization? A study on K-Face dataset
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Authors
Sanghoon Lee
Issue Date
2022-01
Citation
International Workshop on Advanced Image Technology (IWAIT) 2022, pp.1-5
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1117/12.2624816
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.
KSP Keywords
Advanced feature, Face dataset, Face normalization, Negative impact, face recognition, facial feature extraction, identification accuracy, identification protocol, performance improvement