L'Oreal USA, Skin Evaluation Department, Clark, NJ 07066, USA.
Skin Res Technol. 2011 May;17(2):129-34. doi: 10.1111/j.1600-0846.2010.00480.x. Epub 2011 Jan 19.
BACKGROUND/PURPOSE: Age perception is based on a number of facial attributes such as wrinkles, skin gravity effects, feature lines, and skin optical appearance. The colorimetric and optical diffusion properties of skin have been compared with the consumer interpretation of 'skin age' of cheek area pictures without wrinkles or feature lines.
Controlled lighting images of skin were taken with the Visia CR. Skin sections from the cheek area were selected without eye region wrinkles or naso-labial lines for consumer interpretation. These same skin sections were analyzed for optical roughness and colorimetric parameters in the LCH color space, by distinguishing several roughness parameters according to their physical scale.
Three main optical parameters of skin were found to influence the consumer's interpretation of skin 'visual age': the chroma (color saturation), lightness, and the local light-diffusing ability of skin. For the chroma and lightness, mainly large-scale inhomogeneities in the 0.8-2 cm(-1) range are taken into account by the consumer. Surprisingly, variations in the skin hue show a total absence of correlation with the consumer grading.
背景/目的：年龄感知基于许多面部特征，如皱纹、皮肤重力效应、特征线和皮肤光学外观。已经比较了皮肤的比色和光扩散特性与无皱纹或特征线的脸颊区域图片的“皮肤年龄”的消费者解释。
使用 Visia CR 拍摄受控照明的皮肤图像。从脸颊区域选择没有眼部皱纹或鼻唇线的皮肤切片，供消费者解释。通过根据其物理尺度区分几个粗糙度参数，对相同的皮肤切片进行 LCH 颜色空间中的光学粗糙度和比色参数分析。
发现皮肤的三个主要光学参数影响消费者对皮肤“视觉年龄”的解释：皮肤的色度（颜色饱和度）、亮度和皮肤的局部光扩散能力。对于色度和亮度，消费者主要考虑 0.8-2 cm（-1）范围内的大尺度不均匀性。令人惊讶的是，皮肤色调的变化与消费者分级完全没有相关性。
