Computational Color Recommendation for Multi-Region Harmony
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Solution Overview
Problem
Consumers face difficulties in selecting harmonious color matching for multiple regions when choosing makeup or hair coloration products, as existing methods rely on subjective recommendations from color experts that do not effectively address color harmony across multiple regions.
Innovation Solution
A computing device and method that utilize computational circuitry to extract color sets from digital images, generate color recommendation information for makeup palettes or hair coloration schemes, and produce virtual representations of recommended color schemes based on prediction models such as CHAID Decision tree or Multi-variate Gaussian map classifier.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color experts give recommended color match based on personal experiences and color theory, then color matching expertise is provided, but the approach is subjective and can only recommend harmonious color matching for pairs of regions
Solution Approach 1:
The patent replaces the manual, subjective color matching process of experts with an automated computational system. The system uses image processing to extract color information from multiple regions and applies color theory algorithms to generate harmonious color combinations for any number of regions, eliminating subjectivity and scaling beyond pair-wise recommendations.
Solution Approach 2:
The system enables consumers to independently obtain personalized color recommendations by uploading their own images. The automated processing extracts color data from the user's image and generates harmonious color schemes without requiring expert intervention, making the service accessible and scalable to unlimited users and regions.
2Ease of operation
If subjective color recommendations are provided for pairs of regions, then simple color matching is achieved, but the need for recommending harmonious color matching for more regions is not satisfied
Solution Approach 1:
The system is designed to handle color matching for any number of regions universally. Rather than being limited to pairs, the algorithm can process and generate harmonious color combinations for three or more regions simultaneously, making it adaptable to various cosmetic application scenarios including makeup, hair coloration, and nail polish.
Solution Approach 2:
The system changes the parameter of region count from fixed (pairs only) to variable (any number of regions). By implementing this parameter change, the system can accommodate different cosmetic scenarios requiring different numbers of color regions while maintaining harmonious color matching through automated computational methods.
Data Source
AI summary
Method and apparatus for recommending at least one of a makeup palette or a hair coloration scheme are provided. The method comprises extracting a color set of at least one region of a digital image associated with a user (201); generating color recommendation information for at least one of a makeup palette or a hair coloration scheme for at least two other regions of the digital image associated with the user based on one or more inputs indicative of the extracted color set (202); and generating one or more instances of a virtual representation of a makeup palette recommendation or a hair coloration scheme recommendation based on the color recommendation information (203).