scholarly journals The New Evaluation of Skin Color and Skin Tone on the Facial Skin. Development of New Instrument Utilizing Image-processing Systems on the Polarized Images of Skin and Its Applications.

1992 ◽  
Vol 26 (2) ◽  
pp. 120-130
Author(s):  
Yuuko Shibue ◽  
Osamu Osanai ◽  
Eijiro Takeuchi ◽  
Hidetaka Iwai ◽  
Yoshihiro Minematsu
Keyword(s):  
Image Processing ◽  
Skin Color ◽  
Skin Tone ◽  
Facial Skin ◽  
Skin Development ◽  
New Instrument

scholarly journals Skin Color Perception in Portrait Image and AR-based Humanoid Emoji

2020 ◽  
Vol 2020 (28) ◽  
pp. 114-118
Author(s):  
Yuchun Yan ◽  
Hyeon-Jeong Suk
Keyword(s):  
Graduate Students ◽  
Augmented Reality ◽  
Facial Expressions ◽  
Skin Color ◽  
User Study ◽  
Color Perception ◽  
Color Difference ◽  
Skin Tone ◽  
Facial Skin ◽  
Dark Tone

Animated emoji in augmented reality (AR) enables users to create a humanoid version of themselves that mimics their facial expressions dynamically. In this study, we aim to explore how people perceive facial skin color in digital portrait in comparison with humanoid emoji in AR. We tried to identify the skin color representative regions and to estimate the color difference between the two contexts. We conducted a user study comprised of three tasks with 20 graduate students majoring in design and employed 24 portrait images in four skin tone categories. Through the user study, we first figured out that forehead and cheek regions, and particularly the linking band between eye and lip, were often considered as the representative region of facial skin color. Second, we observed skin colors become lighter in general, except dark tone. Furthermore, concerning the vidvidness, all four skin tone types became paler in humanoid emoji. Diverse ethnicities and contexts are expected in the future to provide a more robust and reliable analysis of the perception of skin color.

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

scholarly journals Facial Skin Monitoring System Based on Image Processing

2021 ◽  
Vol 1881 (2) ◽  
pp. 022014
Author(s):  
Honghui Mu ◽  
Jiayan Zhang ◽  
Ting Xu
Keyword(s):  
Image Processing ◽  
Monitoring System ◽  
Facial Skin

Layers of Inequality: Unequal Opportunities and Skin Color in Mexico

2021 ◽  
pp. 003464462110441
Author(s):  
Luis Monroy-Gómez-Franco ◽  
Roberto Vélez-Grajales ◽  
Gastón Yalonetzky
Keyword(s):  
Skin Color ◽  
Wealth Inequality ◽  
Skin Tone ◽  
Inequality Of Opportunity ◽  
Age Cohort ◽  
Parental Wealth ◽  
Unequal Opportunities ◽  
Total Inequality ◽  
Total Wealth ◽  
A Share

We document the contribution of skin color toward quantifying inequality of opportunity over a proxy indicator of wealth. Our Ferreira–Gignoux estimates of inequality of opportunity as a share of total wealth inequality show that once parental wealth is included as a circumstance variable, the share of inequality of opportunity rises above 40%, overall and for every age cohort. By contrast, the contribution of skin tone to total inequality of opportunity remains minor throughout.

Sa-Oiliness: A System to Measure Oiliness of Distant Subject Using Image Processing

2011 ◽  
Vol 403-408 ◽  
pp. 4462-4468
Author(s):  
Anand Gupta ◽  
Rachit Garg ◽  
Shruti Suri
Keyword(s):  
Image Processing ◽  
Medical Examination ◽  
Facial Skin ◽  
Dry Skin ◽  
Weighted Mean ◽  
Skin Texture ◽  
Skin Examination ◽  
Specific Instrument ◽  
Relative Value ◽  
Physical Presence

In medical examination of skin texture, an expert is generally needed to examine the skin texture thoroughly. It is felt that the same can be achieved through image processing, wherein a skin expert or physical presence of the patient are not needed on the spot. In the distant skin examination, expertise is required in analyzing the skin texture as appeared on the image. The texture is evaluated on the basis of oiliness of the skin, which is measured by a specific instrument [5]. As per our knowledge, the instrument is not readily available. To overcome this problem, a framework (SA-OILINESS) is proposed in this paper. It is designed so as to provide a scale to measure oiliness of facial skin through an image of a standard resolution. The proposed approach is based on the principle that the intensity of light from an oily skin is comparatively higher than that from a dry skin. Images of test subjects are taken at the same time and using the approach of weighted mean of the intensity of light reflected from the marked forehead region a scale of oiliness is developed. The scale is used to measure the relative value of oiliness.

Classification of Fresh N36 Pineapple Crop Using Image Processing Technique

2011 ◽  
Vol 418-420 ◽  
pp. 1739-1743 ◽  
Author(s):  
Shuhairie Mohammad ◽  
Kamarul Hawari Ghazali ◽  
Nazriyah Che Zan ◽  
Siti Sofiah Mohd Radzi ◽  
Rohana Abdul Karim
Keyword(s):  
Image Processing ◽  
Skin Color ◽  
Promising Result ◽  
Linear Method ◽  
Processing Technique ◽  
Maturity Index ◽  
Image Processing Technique ◽  
Classification Rate ◽  
Testing Stage ◽  
The Government

Malaysia is one of the world pineapple producers besides Thailand, Philippine, Indonesia, Brazil and South Africa. The government encourage farmers to have more production to meet increasing demand for export. Most of the pineapple production activities is still in manual process and rely on labor workers. In this paper, we proposed a system that can be used in production house to automatically detect the maturity index of pineapple. We implement image processing method to determine the maturity of a pineapple based on yellowish skin color. Binary ellipse mask has been used for extracting region of interest (ROI) as well as morphology normalized RGB to filter out the background and unwanted pixel image. Finally, linear method using threshold values has been selected to classify the maturity index. 910 pineapple images has been used at the development and testing stage and we obtained promising result with 94.29% good classification rate.

Topographic-based facial skin color transfer

2004 ◽  
Author(s):  
Lijun Yin ◽  
Johnny Loi ◽  
Jingrong Jia ◽  
Joseph Morrissey
Keyword(s):  
Skin Color ◽  
Facial Skin ◽  
Color Transfer

Egg Donation and Exotic Beauty

2016 ◽  
Author(s):  
Daisy Deomampo
Keyword(s):  
Skin Color ◽  
Skin Tone ◽  
Egg Donation ◽  
Social Hierarchies ◽  
Indian Women ◽  
Egg Donor ◽  
Egg Donors ◽  
Donor Egg ◽  
Biological Race ◽  
Racial Hierarchies

Chapter 3 analyzes constructions of skin color and race in intended parents’ narratives about the experience of selecting an egg donor. This chapter shows how egg donors of different backgrounds are differently valued, bolstering social hierarchies. At the same time, the chapter describes the diversity of ways that intended parents approach race and skin tone when choosing an egg donor. In contrast to dominant assumptions that intended parents seek donors who match their own ethnic backgrounds in order to reproduce whiteness, the process of egg donation represented an opportunity for many intended parents to subvert racial hierarchies by selecting Indian donors with darker skin tones. The chapter argues that such narratives, however, misrecognize donor egg selection as an opening to challenge racial hierarchies; instead, such decisions rely on essentialized notions of race and beauty that exoticize Indian women and reflect new articulations of biological race.

scholarly journals Effects of Facial Threading on Female Skin Texture: A Prospective Trial with Physiological Parameters and Sense Assessment

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Li-Ying Lin ◽  
Shang-Chia Chiou ◽  
Shu-Hui Wang ◽  
Ching-Chi Chi
Keyword(s):  
Skin Color ◽  
Prospective Trial ◽  
Skin Condition ◽  
Facial Skin ◽  
Skin Texture ◽  
Skin Physiology ◽  
Hard Evidence ◽  
Mouth Corner ◽  
Vellus Hairs ◽  
To Receive

Background. Facial threading is a common tradition in Taiwan, Southeast Asia (called “Bande Abru”), Middle East (called “Khite”), and Egypt (called “Fatlah”). In addition to the ability to remove facial vellus hairs, facial threading can make the skin fairer and shinier. However, there has been a lack of hard evidence regarding the effects of facial threading on the skin. Objective. To examine the effects of facial threading on skin physiology as well as visual and touch senses by using scientific instruments. Methods. A total of 80 participants were allocated to receive facial threading, application of powder only, exfoliation, and shaving. Prior to and following the assigned treatment, a noninvasive skin condition detection device was used to measure skin coarseness, hydration, melanin, and erythema index. Sense assessment and image analysis were also performed. Results. This study showed that facial threading was found to improve the facial skin roughness indices with significant decreases by 30.4%, 35.9%, and 16.7%, respectively, for the participants’ forehead, cheek, and mouth corner skin. No significant adverse changes in moisture levels and skin pigment indices were detected. In addition, there was improvement in subjects’ touch sense of their skin and feelings about skin color. Conclusions. Traditional facial threading can remove facial vellus hairs and lower skin roughness levels, thereby improving the skin texture. However, pricking sensation appeared during the facial threading process, which might cause concerns about irritation.

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