Visia-CR在底妆类产品妆效评价中的应用研究

Application research on performance evaluation of base make-up products by using Visia-CR

探讨一种底妆类产品上妆效果的定量图像分析方法。应用Visia-CR结合Image-Pro的皮肤综合分析系统,选取受市场关注高的底妆产品(妆前乳、BB霜、粉底液),分别对比使用底妆产品前后,典型面部皮肤参数的统计学变化,包括反映遮瑕效果的斑点参数、毛孔隐匿效果的毛孔参数、美白效果的L^*值、ITA°值、表征肤色均一性的Hue偏差值、皮肤平滑度的线性光强度偏差值。结果表明,Visia-CR结合Image-Pro的皮肤综合分析系统,可实现对底妆类产品多重妆效的定量评估。

A quantitative image analysis method of performance evaluation for base makeup products was explored. Pre-makeups, BB creams and liquid foundations were selected as the evaluation objects because they had got the top attention from the market. A combination of Visia-CR and Image-pro was used to extract and compare the typical facial skin parameters before and after applying the products, such as spot parameters, pore parameters, the values of L^* and ITA°, Hue Std Dev, and Line profile Std Dev. These parameters could reflect the effects of concealment, pore hiding, skin whitening and brightening, skin color uniformity, and skin smoothness, respectively. The results show that, the quantitative evaluation of multiple makeup performance for base makeup products can be realized by using the skin analysis system consisting of Visia-CR and Image-pro.