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
Keyword(s):  
Influencing Factors ◽  
Skin Color ◽  
Chinese Population ◽  
Facial Skin ◽  
Factors Analysis

Exploring the Facial Color Representative Regions Using the Humanae Images

2020 ◽  
Author(s):  
Yuchun Yan ◽  
Hayan Choi ◽  
Hyeon-Jeong Suk
Keyword(s):  
Image Analysis ◽  
Future Study ◽  
Skin Color ◽  
Color Difference ◽  
Facial Skin ◽  
Female Images ◽  
Gender And Race ◽  
Facial Landmarks

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.

Comparisons in perception of facial skin brightness, as influenced by differences in skin color: Asian observers

2021 ◽  
Author(s):  
Yuanyuan He ◽  
Taiga Mikami ◽  
Suguru Tanaka ◽  
Kumiko Kikuchi ◽  
Yoko Mizokami
Keyword(s):  
Skin Color ◽  
Facial Skin

Influencing factors analysis on shear capacity of cold-formed steel light frame shear walls

Structures ◽  
2021 ◽  
Vol 33 ◽  
pp. 3588-3604
Author(s):  
Wenying Zhang ◽  
Xiangzhi Xu ◽  
Yu Zheng ◽  
Shuangshuang Wang ◽  
Yuanqi Li
Keyword(s):  
Influencing Factors ◽  
Shear Walls ◽  
Shear Capacity ◽  
Factors Analysis ◽  
Cold Formed Steel

scholarly journals Bearing characteristics and influencing factors analysis of bored pile under refreezing condition in permafrost region

2014 ◽  
Vol 9 (14) ◽  
pp. 634-644
Author(s):  
Junwei Zhang ◽  
Yi Zeng ◽  
Xiaojie Ma ◽  
Lei Li
Keyword(s):  
Influencing Factors ◽  
Permafrost Region ◽  
Bored Pile ◽  
Factors Analysis

Influencing factors analysis of degradation and damage and the effect on steel frame

2015 ◽  
Vol 15 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Meng Wang ◽  
Yongjiu Shi ◽  
Yuanqing Wang ◽  
Weiguo Yang
Keyword(s):  
Influencing Factors ◽  
Steel Frame ◽  
Factors Analysis

Traffic Safety Propaganda in Enterprises: Influencing Factors Analysis by Means of Logistic Model

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Gang Ren ◽  
Cheng Gu ◽  
Yong Zhang
Keyword(s):  
Influencing Factors ◽  
Traffic Safety ◽  
Logistic Model ◽  
Factors Analysis

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

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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