Face Authentication With Makeup Changes

• Published in: IEEE transactions on circuits and systems for video technology Vol. 24; no. 5; pp. 814 - 825
• Main Authors: Guo, Guodong, Wen, Lingyun, Yan, Shuicheng
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Authentication; Biometrics; Correlation; Cosmetics; Cryptography; Detection, estimation, filtering, equalization, prediction; discriminative; Exact sciences and technology; Face; Face recognition; Face verification; Feature extraction; Image color analysis; Image processing; Information, signal and communications theory; makeup detection; Mapping; partial least squares; patch selection; Pattern recognition; Robustness; Signal and communications theory; Signal processing; Signal, noise; Skin; Surface layer; Telecommunications and information theory; Texture; Correlation; makeup detection; discriminative; face verification; partial least squares; patch selection; cosmetics; Biometrics; Performance evaluation; Discriminant analysis; Face recognition; Image processing; Mapping; Pattern recognition; Timbre; Texture; Accuracy; Authentication; Database; Signal processing; Selection criterion; Feature extraction; Automatic recognition; Partial least squares

Recent studies have shown that facial cosmetics have an impact on face recognition. To develop a face recognition system that is robust to facial makeup, we propose performing correlation mapping between makeup and nonmakeup faces on features extracted from local patches. Three methods are explored...