Spectra Reconstruction for Human Facial Color from RGB Images via Clusters in 3D Uniform CIELab* and Its Subordinate Color Space

被引:3
|
作者
Li, Suixian [1 ,2 ]
Xiao, Kaida [2 ]
Li, Pingqi [3 ]
机构
[1] Binzhou Univ, Flying Coll, Binzhou 256600, Peoples R China
[2] Univ Leeds, Sch Design, Leeds LS2, England
[3] Univ Edinburgh, Sch Informat, Edinburgh EH8 9YL, Scotland
关键词
human facial color; spectra reconstruction; RGB images; high fidelity color reproduction; PCA (Principal Component Analysis); polynomial regression; subordinate color subspace; SKIN COLOR; REFLECTANCE; MELANIN; REPRODUCTION; HEMOGLOBIN;
D O I
10.3390/s23020810
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Previous research has demonstrated the potential to reconstruct human facial skin spectra based on the responses of RGB cameras to achieve high-fidelity color reproduction of human facial skin in various industrial applications. Nonetheless, the level of precision is still expected to improve. Inspired by the asymmetricity of human facial skin color in the CIELab* color space, we propose a practical framework, HPCAPR, for skin facial reflectance reconstruction based on calibrated datasets which reconstruct the facial spectra in subsets derived from clustering techniques in several spectrometric and colorimetric spaces, i.e., the spectral reflectance space, Principal Component (PC) space, CIELab*, and its three 2D subordinate color spaces, La*, Lb*, and ab*. The spectra reconstruction algorithm is optimized by combining state-of-art algorithms and thoroughly scanning the parameters. The results show that the hybrid of PCA and RGB polynomial regression algorithm with 3PCs plus 1st-order polynomial extension gives the best results. The performance can be improved substantially by operating the spectral reconstruction framework within the subset classified in the La* color subspace. Comparing with not conducting the clustering technique, it attains values of 25.2% and 57.1% for the median and maximum errors for the best cluster, respectively; for the worst, the maximum error was reduced by 42.2%.
引用
收藏
页数:19
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