Facial Feature Analysis System for Personalized Cosmetic Advice
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Solution Overview
Problem
Consumers face difficulty in selecting appropriate cosmetic products that effectively enhance their facial features, as existing methods lack personalized analysis and guidance based on individual facial contrasts, leading to dissatisfaction with the chosen products.
Innovation Solution
A method and system for analyzing facial features by acquiring a picture, delimiting zones, processing contrast values in the CIE L*a*b* color space, and matching the individual to pre-established clusters based on reference population data to provide personalized advice on cosmetic product selection and application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers select cosmetic products based on general marketing information, then product availability and ease of purchase are improved, but the precision of product suitability and effectiveness deteriorates
Solution Approach 1:
The system enables consumers to perform self-diagnosis of their facial contrast characteristics through automated image analysis. Users upload photos and receive personalized recommendations without requiring professional consultation, making the process self-service oriented while maintaining precision through objective measurement of facial contrast parameters
Solution Approach 2:
The patent replaces manual cosmetic consultation and trial-and-error selection with an automated computational system that uses image processing algorithms to analyze facial contrasts and recommend products. This substitution of mechanical/human judgment with automated digital analysis improves both ease of use and precision simultaneously
2Measurement precision
If consumers conduct detailed analysis of their own facial features, then the precision of product selection is improved, but the complexity of the selection process and time required deteriorates
Solution Approach 1:
The system introduces an intermediary automated analysis tool that bridges the gap between consumers and detailed facial analysis. Instead of consumers needing to perform complex analysis themselves, the intermediary system handles the technical measurements and interpretations, providing precise results while simplifying the user experience
Solution Approach 2:
Manual self-analysis of facial features is replaced with automated image processing algorithms that objectively measure contrast values. This substitution eliminates the complexity burden from consumers while maintaining or improving measurement precision through computational methods
3Adaptability or versatility
If consumers use cosmetic products without personalized analysis, then product availability and accessibility are improved, but the effectiveness and satisfaction with results deteriorates
Solution Approach 1:
The system applies local quality analysis by measuring contrast characteristics of specific facial zones (eyes, mouth, eyebrows) separately. This allows for targeted recommendations that address individual needs in different facial areas while maintaining overall product availability and accessibility for all consumers
Solution Approach 2:
The patent uses parameter changes by measuring contrast values in different color spaces (CIE L*a*b*) and transforming them into meaningful cosmetic recommendations. This parameter transformation enables reliable matching of products to individual facial characteristics while preserving broad product availability
Data Source
AI summary
Disclosed is a method for analyzing facial features of a person, including the steps of: acquiring a picture of the face of the person; delimiting, on the picture, at least two zones of the face of the person; processing the picture to determine contrast values of each of the at least two zones; and based on the determined contrast values, determining a cluster to which the person pertains among a plurality of pre-established clusters, with the pre-established clusters being elaborated based on a set of contrast values determined for the same zones of the faces of a reference population in respective pictures of the faces; and providing the person with personalized information, wherein the personalized information depends on the cluster to which the person pertains.