Development of an image evaluation method for skin color distribution in facial images and its application: Aging effects and seasonal changes of facial color distribution

被引:10
|
作者
Kikuchi, Kumiko [1 ]
Mizokami, Yoko [2 ]
Egawa, Mariko [1 ]
Yaguchi, Hirohisa [2 ]
机构
[1] Shiseido Global Innovat Ctr, Yokohama, Kanagawa, Japan
[2] Chiba Univ, Grad Sch Engn, Chiba, Japan
来源
COLOR RESEARCH AND APPLICATION | 2020年 / 45卷 / 02期
关键词
face; image analysis; melanin; seasonal changes; skin color distribution; AGE-RELATED-CHANGES; PERCEPTION; HETEROGENEITY; SYSTEM; HEALTH; SPOTS; WOMEN;
D O I
10.1002/col.22469
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
In this article, we present an evaluation method for the skin color distribution in the face area. Unlike previous methods that extract a specific area, our method subdivides the entire face into small regions and analyzes detailed, per-frame textures. Our evaluation method for skin color distribution is based on facial feature points and includes segmentation that takes into account the facial skeleton and muscle orientation. The use of facial feature points enables a comparison at relatively equal positions on the face without depending on the shape or size of the individual's face. Our evaluation method is versatile, and as an application, we clarified age-specific features and seasonal variations of facial color distribution. As a result of applying this evaluation method to the facial images of women aged 20 to 78 years, we confirmed that the lightness of the face decreased as age increased. In particular, the decrease in lightness was remarkable in the region along the cheekbone, from the temple to the center of the cheek. Furthermore, we analyzed the seasonal changes of melanin distribution in the face area. This showed that the melanin index increased particularly in the cheekbone area in the summer when the influence of ultraviolet rays became large. Our novel methodology and the data presented in this article will be useful in various fields, such as dermatology, cosmetics, and computer vision.
引用
收藏
页码:290 / 302
页数:13
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