Analysis of the Association between Image by Face Shape and Personal Color Type

At a Glance

Metadata	Details
Publication Date	2022-10-27
Journal	Journal of the Korean Society of Cosmetology
Authors	Gahyun Kim, Min-Lyoung Choi
Institutions	Seokyeong University
Citations	1
Analysis	Full AI Review Included

Executive Summary

This study investigates the correlation between perceived image based on facial geometry (face shape) and established personal color types (Spring, Summer, Autumn, Winter) to propose a new, objective diagnostic parameter for the beauty industry.

Core Value Proposition: Face shape image is validated as a statistically significant variable (p=0.075) for personal color diagnosis, mitigating reliance solely on subjective skin color assessment.
Sample and Scope: Analysis conducted on 504 women in their 20s, utilizing visual assessment by 8 experienced beauty experts.
Spring Type Correlation: Strongly associated with round and egg-shaped faces, linked to “cheerful,” “youthful,” and “innocent” images.
Winter Type Correlation: Strongly associated with square, diamond, and inverted triangle shapes, linked to “confident,” “cool,” and “sharp” images.
Summer Type Correlation: Broad distribution across round, oval, inverted triangle, and diamond shapes, correlating with “friendly,” “gentle,” and “intellectual” images.
Methodology: Sensory evaluation (draping) combined with expert consensus on face shape classification under controlled 5000K lighting conditions.
Application Potential: Findings support the development of AI/IT-based beauty services (e.g., smart mirrors, smartphone apps) that use facial geometry recognition for automated color recommendations.

Technical Specifications

Parameter	Value	Unit	Context
Sample Size (N)	504	people	Female subjects, age 20s
Statistical Significance (Chi-squared)	23.467 (p=0.075)	N/A	Association between face shape and personal color type distribution
Diagnosis Lighting Standard	5000	Kelvin	Controlled environment simulating natural sunlight
Expert Panel Experience	10+	years	Minimum experience in makeup and personal color fields
Total Personal Color Types Identified	4	types	Spring (10.1%), Summer (36.5%), Autumn (28.0%), Winter (25.4%)
Most Frequent Face Shape	141 (28.0)	N (%)	Square-shaped
Least Frequent Face Shape	17 (3.4)	N (%)	Egg-shaped/Oval face
Spring Type Dominant Face Shape	12 (10.8)	N (%)	Round-shaped
Autumn Type Dominant Face Shape	30 (41.1)	N (%)	Long-shaped

Key Methodologies

Subject Recruitment and Screening: 550 female students (20s) were initially recruited; 504 were selected after excluding those with recent artificial skin treatments (e.g., tanning) or temporary physiological changes affecting skin color.
Controlled Measurement Environment: Experiments were conducted in a dedicated laboratory (Yudam Hall 518, SeoKyeong University) equipped with 5000K lighting (KSA3011 standard) to ensure accurate, consistent color temperature for visual assessment.
Face Shape Classification: Face shapes were categorized into six types (Square, Egg/Oval, Long, Diamond, Round, Inverted Triangle). Classification was determined by consensus (majority agreement) among 8 experts based on facial outline, jaw/forehead angles, and length/width ratios.
Image Feature Quantification: Subjects completed self-assessment questionnaires to quantify the perceived image characteristics (e.g., “active,” “intellectual,” “cool”) associated with their specific face shape, using scales derived from prior research.
Personal Color Diagnosis (Sensory Evaluation): Personal color type (Spring, Summer, Autumn, Winter) was determined by the 8 experts using visual assessment (sensory evaluation) with 80-color draping cloths (CML Beauty Design Center).
Statistical Correlation Analysis: Frequency analysis and Chi-squared testing (using SPSS 25.0) were performed to assess the statistical dependency between the determined face shape and the diagnosed personal color type.

Commercial Applications

The integration of facial geometry and image perception data into color diagnosis is highly relevant for the following industries and applications:

AI/IT Beauty Services: Development of advanced algorithms for personalized beauty recommendations via Internet of Things (IoT) devices such as smart mirrors and smartphone applications.
Automated Diagnosis Systems: Creating a standardized, objective parameter (face shape image) to reduce diagnostic errors caused by subjective expert judgment or environmental variations in skin color assessment.
Cosmetic and Fashion Retail: Enhancing user-customized product recommendations (e.g., eyeshadow, lipstick, clothing tones) by integrating facial geometry data with color theory.
Virtual Try-On Technology: Improving the accuracy and realism of virtual makeup and hair styling simulations by incorporating the user’s inherent facial image characteristics.
Beauty Education and Consulting: Providing a new, measurable standard for training personal color consultants, supplementing traditional skin and eye color analysis.

View Original Abstract

We analysed 504 women in their 20s in order to find out an association between personal color types and images by face shape. The findings of this study showed that images by face shape may work as one of variables in personal color diagnosis. First, ‘spring’ personal color saw round- or egg-shaped face be the most frequent in its distribution. This means ‘cheerful’, ‘youthful’, ‘young-looking’, ‘pretty’ images a round-shaped face invokes and ‘innocent’ image an oval face creates may be a meaningful standard in diagnosing ‘spring’ personal color. Second, among those the most frequently distributed in ‘summer’ personal color were a round-shaped face, an oval face, an inverted triangle-shaped face and a diamond- shaped face. This show ‘friendly’, and ‘gentil’ images of a round-shape face and ‘soft’, ‘natural’, ‘friendly’, ‘warm’ or ‘gentle’ images of an oval face may be a meaningful criterion in ‘summer’ personal color diagnosis; and a ‘trustworthy’ or ‘faithful’ images of square-shaped face and ‘intellectual’ image of an inverted triangle-shaped face may be also a significant standard in ‘summer’ personal color diagnosis. Third, a diamond-shaped face and a long- shaped face were the most often distributed in ‘autumn’ personal color. This shows ‘mature’ image of a diamond-shaped face and ‘mature’, ‘composed’, ‘adult’, calm’, ‘intellectual’, ‘classic’, ‘feminine’ or ‘lofty’ images of a long-shaped face may be a meaningful measurement in ‘autumn’ personal color diagnosis. Fourth, ‘winter’ personal color saw square-shaped face, a diamond-shaped face and an inverted triangle-shaped face the most frequently distributed in it. This means ‘confident’ or ‘active’ images of a square-shaped face, ‘cool’ image of a diamond-shaped face and ‘cool’ or ‘sharp’ images of an inverted triangle-shaped face may be a meaningful criterion in diagnosing ‘winter’ personal color. In conclusion, an important implication is that images of face shape might be a new standard in personal color diagnosis, further stimulating a variety of beauty service based on face perception consumers can enjoy by using smart phone or smart mirror.

Tech Support

Original Source

DOI: https://doi.org/10.52660/jksc.2022.28.5.1084

References

2019 - A Study on Personal Color Diagnosis and Evaluation Characteristics of Results
2011 - A Comparison Analysis of the Skin Color According to Seasonal Types in personal Color Systems
2020 - Trend in Face type Classification for user-customized Makeup Recommendations
2005 - The Influence of the Eyebrow Make-up on Facial Image
2013 - Differences in Appearance Management Behavior in Accordance with Personal Color Awareness of Single Women of 20-30’s