Automated Colorimetry for Accurate Facial Color Classification

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Solution Overview

Problem

Existing colorimetry techniques rely on manual selection of colors to complement human facial features, which are time-consuming and prone to visual inaccuracies due to human perceptual bias, limiting their ability to classify diverse facial features accurately.

Innovation Solution

An automated color coordination system processes digital images to identify color classifications based on facial features, using 3D histograms to recommend colors and match them with item colors, thereby eliminating manual classification errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual color selection techniques are used to classify facial features, then human perceptual judgment can be applied, but the process becomes time-consuming and prone to visual inaccuracies

Engineering Contradiction:

Improvecolor classification accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of visual color assessment with an automated digital image processing system. The system uses computer algorithms to analyze facial feature images, extract color information, and perform classification automatically, eliminating the time-consuming manual process while maintaining or improving classification accuracy through consistent objective measurement.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service color classification where the digital image processing system independently performs the entire classification process without human intervention. The automated system extracts features, determines color characteristics, and generates classifications autonomously, freeing users from manual color selection tasks while providing accurate results.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If manual colorimetry techniques are used, then human expertise can be applied, but visual inaccuracies due to human perceptual bias occur

Engineering Contradiction:

Improvehandling diverse facial featuresVSAvoidcolor classification accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent replaces subjective human visual assessment with objective digital image processing algorithms. The system uses standardized color space transformations and automated feature extraction to eliminate human perceptual bias, providing consistent and accurate color classification across diverse facial features without being influenced by individual observer variations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system transforms visual color information into standardized numerical parameters through color space conversions (e.g., RGB to LAB or HSV color spaces). This parameterization allows for precise mathematical comparison and classification of colors, replacing subjective visual judgment with objective quantitative analysis that can accurately handle diverse facial features.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated colorimetry is implemented, then processing speed increases, but system complexity increases

Engineering Contradiction:

Improvecolor classification speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements automated colorimetry using digital image processing systems that can rapidly analyze multiple facial feature images simultaneously. The automation enables high-speed processing of color information through computer algorithms, dramatically increasing productivity compared to manual methods while managing system complexity through software-based solutions.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The automated system is designed to handle multiple functions within a unified framework: image acquisition, preprocessing, feature extraction, color space transformation, and classification. This multi-functional approach consolidates what could be separate complex systems into a single integrated solution, improving productivity while controlling overall system complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12499580B2Automated colorimetry techniques supporting color classification

Publication Date: 2025.12.16 ADOBE INC

AI summary

In implementation of automated colorimetry techniques supporting color classification, a computing device implements a color coordination system to receive a digital image depicting a person. The color coordination system then identifies a color classification for the person based on the digital image, the color classification associated with a color recommendation that is represented as a color distribution. The color coordination system identifies an item associated with a color of the color recommendation by identifying a point of the color distribution associated with a color of the item that is within a threshold distance from a point associated with the color of the color recommendation. Then, the color coordination system displays a recommendation that includes the item in a user interface.