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通过自动分析的自拍照片,观察日本女性使用某些粉底对衰老面部特征的影响 5 小时后的后续情况。

A 5-hour follow-up of the impact on ageing facial signs of some foundations in Japanese women through automatically analysed selfie pictures.

机构信息

L'Oréal Research and Innovation, Clichy, France.

L'Oréal Research and Innovation, Tokyo, Japan.

出版信息

Int J Cosmet Sci. 2022 Aug;44(4):431-439. doi: 10.1111/ics.12786. Epub 2022 Jul 12.

Abstract

OBJECTIVE

To explore the possibility of an automatic grading algorithm to detect and quantify, from selfie pictures, the subtle changes of facial signs brought by the application of a foundation.

MATERIAL AND METHODS

A total of 270 Japanese differently aged women (30-54y) living in four different Japanese cities took selfies before, immediately and 5 h after having applied their own foundation, with their own routine.

RESULTS

The analysis of 810 selfie pictures revealed (3 times × 270 women) that, prior to applications, all women presented a low grade of facial ageing. In most cases, the severities of less marked facial signs were detected and quantified, found affected by routine at different extents in all age-classes, but more intensely in the older age-class (45-54y) despite their more pronounced signs in bare skin status. In contrast, periorbital wrinkles were detected as more severe in all age-classes at both timing, that is, immediately and 5 h post-application as well as Nasolabial folds 5 h post-application. The amplitude of these positive or negative changes, although found of low amplitude, as decimals of the initial grades, was significantly detected.

CONCLUSION

This automatic system appears apt at grading subtle changes in facial ageing signs brought by a foundation and could be a valuable help to the consumers of make-up products, in refining their individual procedure to obtain a more personalized desired facial appearance.

摘要

目的

探索一种自动分级算法,以从自拍照片中检测和量化粉底应用带来的面部特征细微变化。

材料与方法

共有 270 名居住在四个不同日本城市的不同年龄的日本女性(30-54 岁),按照各自的日常习惯,在涂抹粉底前、涂抹即刻和 5 小时后自拍。

结果

对 810 张自拍照片的分析(3 次×270 名女性)显示,在使用粉底之前,所有女性都呈现出低等级的面部衰老。在大多数情况下,检测到并量化了不太明显的面部特征严重程度,发现所有年龄段的日常习惯都在不同程度上影响了这些特征,但在年龄较大的(45-54 岁)年龄组中更为明显,尽管她们在素颜状态下的特征更为明显。相比之下,即刻和应用后 5 小时的眶周皱纹以及应用后 5 小时的鼻唇沟皱纹在所有年龄段的两个时间点均被检测为更严重。尽管这些正负变化的幅度很小,只有初始等级的小数位,但都被显著检测到。

结论

这种自动系统似乎适合评估粉底对面部衰老迹象的细微变化进行分级,这对于化妆品消费者来说可能是一个有价值的帮助,可以帮助他们改进个人化妆程序,以获得更个性化的理想面部外观。

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