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Color space normalization: Enhancing the discriminating power of color spaces for face recognition
2010
Pattern Recognition
This paper presents the concept of color space normalization (CSN) and two CSN techniques, i.e., the within-color-component normalization technique (CSN-I) and the across-color-component normalization technique (CSN-II), for enhancing the discriminating power of color spaces for face recognition. Different color spaces usually display different discriminating power, and our experiments on a large scale face recognition grand challenge (FRGC) problem reveal that the RGB and XYZ color spaces are
doi:10.1016/j.patcog.2009.11.014
fatcat:3fafjfjeavbl7otrxvrvskzuvi