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학술대회 Does Modern Facial Feature Extraction Network Needs Face Normalization?: A Study on K-Face Dataset
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저자
이상훈
발행일
202201
출처
International Workshop on Advanced Image Technology (IWAIT) 2022, pp.1-5
DOI
https://dx.doi.org/10.1117/12.2624816
협약과제
22HH6400, 불법촬영물에서 특정 얼굴 검색 기술 개발 , 이남경
초록
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 제안 키워드
Advanced feature, Face dataset, Face normalization, Negative impact, face recognition, facial feature extraction, identification accuracy, identification protocol, performance improvement