Facial Image Analysis for Attractiveness Scoring

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Solution Overview

Problem

There is a need for a method to determine the perceived attractiveness of a person's facial appearance, which can help individuals make informed decisions to improve their attractiveness.

Innovation Solution

A computer-implemented method that analyzes a digital image of a person's facial image portion, generates an Attractiveness Score based on positive and negative attributes, and provides an image description to identify areas for improvement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If digital image analysis is performed to determine perceived attractiveness, then objective measurement of facial attributes is improved, but subjectivity of attractiveness assessment remains unresolved

Engineering Contradiction:
Improveattractiveness assessmentVSAvoidanalysis system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary system comprising digital image capture devices, processing units with machine learning algorithms, and analysis software that mediates between the subjective concept of attractiveness and objective measurement. This intermediary translates facial attributes into quantifiable metrics while preserving the essence of attractiveness assessment.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical or manual attractiveness assessment methods with digital image processing and computational analysis. Machine learning models and algorithms substitute human subjectivity with automated digital analysis, enabling consistent and reproducible measurements of facial attributes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If detailed facial attribute analysis is provided to improve attractiveness, then actionable insights for improvement are enhanced, but complexity of information processing increases

Engineering Contradiction:
Improveattractiveness improvement guidanceVSAvoidinformation processing system
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the complex task of attractiveness assessment into distinct facial attribute components such as symmetry, skin quality, facial proportions, and feature characteristics. Each segment is analyzed independently by specialized algorithms, and results are aggregated to provide comprehensive feedback. This segmentation makes the information processing manageable and the insights actionable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transforms complex facial characteristics into simplified quantitative parameters and scores that are easier to process and interpret. By converting detailed facial attributes into standardized metrics, the system reduces information complexity while preserving the essential data needed for attractiveness improvement guidance.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12340510B2Oral care based digital imaging systems and methods for analyzing attributes of a facial image portion
Publication Date: 2025.06.24 PROCTER & GAMBLE CO
  • US12340510B2 patent drawing
  • US12340510B2 patent drawing
  • US12340510B2 patent drawing

AI summary

Oral care based imaging computer-implemented systems and methods for analyzing attributes of a facial image portion of at least one person depicted in a digital image. An oral care digital imaging computer-implemented method for analyzing a facial image portion of a person depicted in a digital image may include analyzing the facial image portion for positive and negative attributes as defined by pixel data of the digital image and generating a probability value based on the positive and negative attributes in the facial image portion in the digital image.