Title :
Foundation-Applied Skin Color Prediction Via SVD-Based Neural Network
Author :
Kobayashi, Kazuyuki ; Watanabe, Kajiro ; Toyoda, Naruhito ; Yoshikawa, Hironobu
Author_Institution :
Dept. of Syst. Eng., Hosei Univ., Tokyo
Abstract :
When selecting foundation at a cosmetics store, the main objective is determining which material color best suits the user´s skin color. This is not an easy task without actually applying the foundation since the color observed in the case is not necessarily being the color once it is applied to the skin. We propose a foundation-applied skin color prediction method using an SVD-based artificial neural network. Using the trained network, we achieved 95% of the foundation-applied skin color within a 2-color difference in L*a*b* space
Keywords :
face recognition; image colour analysis; neural nets; singular value decomposition; SVD-based neural network; artificial neural network; foundation-applied skin color prediction; Artificial neural networks; Color; Joining materials; Measurement standards; Neural networks; Prediction methods; Reflection; Reflectivity; Skin; Systems engineering and theory; Foundation-applied skin color; SVD; neural network; prediction;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315605
