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.

scholarly journals Pengaplikasian Warna Foundation Terhadap Kulit Wajah Gelap Pada Rias Wajah Pesta

2020 ◽  
Vol 11 (02) ◽  
pp. 241
Author(s):  
Muzakiyah Qurrata A'yuni ◽  
Hayatunnufus Hayatunnufus
Keyword(s):  
Skin Color ◽  
Research Result ◽  
Color Difference ◽  
Control Group ◽  
Homogeneity Test ◽  
Facial Skin ◽  
Control Group Design ◽  
Sample Number ◽  
Equivalent Control ◽  
The Difference

AbstractThe difficulty in choosing Foundation colors is very influential for the makeup of one of them is makeup party. Because the wrong in choosing foundation colors make a striped face does not correspond to the skin color. The purpose of this study is to determine the difference in the foundation color application against the skin of dark face on party makeup.This type of research is a pseudo experiment (quasi experiment) with the research design of Non-Equivalent Control Group design. The inside object of the study is a woman who has a dark skin 18-25 years old with a sample number of 3 people. The data analysis techniques used are test normality, homogeneity test and Anava test.Based on the research result of foundation color application against the skin of dark face on party makeup seen from the foundation level grading indicators and the foundation color conformance level. Foundation color application Results One level brighter has an average level of smoothness 2.28 level of foundation color conformity has an average of 2.14. Foundation Color application Result one-level darker level of smoothness has an average of 2.14 foundation color conformity 2.28. The results of the application of two colors foundation one level lighter mixing with one level darker the level of smoothness has an average of 3.28 the foundation color conformity level has an average of 3.14. There is a foundation color difference against dark facial skin on party makeup at the foundation's smoothness level 5.029 > 3.55 and foundation color compatibility level 4.031 > 3.55. A suggestion to choose the appropriate foundation color that is one lighter level is mixed with one darker level. Keywords: color foundation, dark facial skin, makeup Party

scholarly journals Personalized Augmented Reality Based Tourism System: Big Data and User Demographic Contexts

2021 ◽  
Vol 11 (13) ◽  
pp. 6047
Author(s):  
Soheil Rezaee ◽  
Abolghasem Sadeghi-Niaraki ◽  
Maryam Shakeri ◽  
Soo-Mi Choi
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
User Study ◽  
Spatial Information ◽  
Ease Of Use ◽  
Tourist Attraction ◽  
Gender And Education ◽  
Time Distance ◽  
Data Source ◽  
The Right

A lack of required data resources is one of the challenges of accepting the Augmented Reality (AR) to provide the right services to the users, whereas the amount of spatial information produced by people is increasing daily. This research aims to design a personalized AR that is based on a tourist system that retrieves the big data according to the users’ demographic contexts in order to enrich the AR data source in tourism. This research is conducted in two main steps. First, the type of the tourist attraction where the users interest is predicted according to the user demographic contexts, which include age, gender, and education level, by using a machine learning method. Second, the correct data for the user are extracted from the big data by considering time, distance, popularity, and the neighborhood of the tourist places, by using the VIKOR and SWAR decision making methods. By about 6%, the results show better performance of the decision tree by predicting the type of tourist attraction, when compared to the SVM method. In addition, the results of the user study of the system show the overall satisfaction of the participants in terms of the ease-of-use, which is about 55%, and in terms of the systems usefulness, about 56%.

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 Multimodal Mixed Reality Impact on a Hand Guiding Task with a Holographic Cobot

2020 ◽  
Vol 4 (4) ◽  
pp. 78
Author(s):  
Andoni Rivera Pinto ◽  
Johan Kildal ◽  
Elena Lazkano
Keyword(s):  
Augmented Reality ◽  
Industrial Production ◽  
User Study ◽  
Haptic Feedback ◽  
Mixed Reality ◽  
Robot Arm ◽  
Pick And Place ◽  
Place Task ◽  
Guidance Technique ◽  
The Impact

In the context of industrial production, a worker that wants to program a robot using the hand-guidance technique needs that the robot is available to be programmed and not in operation. This means that production with that robot is stopped during that time. A way around this constraint is to perform the same manual guidance steps on a holographic representation of the digital twin of the robot, using augmented reality technologies. However, this presents the limitation of a lack of tangibility of the visual holograms that the user tries to grab. We present an interface in which some of the tangibility is provided through ultrasound-based mid-air haptics actuation. We report a user study that evaluates the impact that the presence of such haptic feedback may have on a pick-and-place task of the wrist of a holographic robot arm which we found to be beneficial.

Augmented Reality Interface for Sailing Navigation: a User Study for Wind Representation

2021 ◽  
Author(s):  
Francesco Laera ◽  
Vito M. Manghisi ◽  
Alessandro Evangelista ◽  
Mario Massimo Foglia ◽  
Michele Fiorentino
Keyword(s):  
Augmented Reality ◽  
User Study

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.

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.

Sign in / Sign up

Export Citation Format

Share Document