Classification and influencing factors analysis of facial skin color in Chinese population

2019 ◽  
Vol 25 (5) ◽  
pp. 693-700 ◽  
Author(s):  
Lixia Wang ◽  
Xiaoxia Wan ◽  
Gensheng Xiao

Author(s):  
Yuchun Yan ◽  
Hayan Choi ◽  
Hyeon-Jeong Suk

It is difficult to describe facial skin color through a solid color as it varies from region to region. In this article, the authors utilized image analysis to identify the facial color representative region. A total of 1052 female images from Humanae project were selected as a solid color was generated for each image as their representative skin colors by the photographer. Using the open CV-based libraries, such as EOS of Surrey Face Models and DeepFace, 3448 facial landmarks together with gender and race information were detected. For an illustrative and intuitive analysis, they then re-defined 27 visually important sub-regions to cluster the landmarks. The 27 sub-region colors for each image were finally derived and recorded in L ∗ , a ∗ , and b ∗ . By estimating the color difference among representative color and 27 sub-regions, we discovered that sub-regions of below lips (low Labial) and central cheeks (upper Buccal) were the most representative regions across four major ethnicity groups. In future study, the methodology is expected to be applied for more image sources.



Author(s):  
Yuanyuan He ◽  
Taiga Mikami ◽  
Suguru Tanaka ◽  
Kumiko Kikuchi ◽  
Yoko Mizokami
Keyword(s):  


Structures ◽  
2021 ◽  
Vol 33 ◽  
pp. 3588-3604
Author(s):  
Wenying Zhang ◽  
Xiangzhi Xu ◽  
Yu Zheng ◽  
Shuangshuang Wang ◽  
Yuanqi Li


2014 ◽  
Vol 9 (14) ◽  
pp. 634-644
Author(s):  
Junwei Zhang ◽  
Yi Zeng ◽  
Xiaojie Ma ◽  
Lei Li


2015 ◽  
Vol 15 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Meng Wang ◽  
Yongjiu Shi ◽  
Yuanqing Wang ◽  
Weiguo Yang




2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.



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