Spectral Reflectance Analysis for Cosmetic Application Evaluation
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Solution Overview
Problem
Existing methods for evaluating the applied state of cosmetic materials on skin, such as the Foundation Quantitation and Distribution Measurement System, require specific optical filters to emphasize color tone differences, making them cumbersome and limiting in measurement flexibility.
Innovation Solution
A skin evaluation device and method using spectral imaging, principal component analysis, and a computer-readable program to calculate spectral reflectance and eigenvectors, allowing for accurate evaluation of cosmetic material application state without the need for specific optical filters, by analyzing brightness, wavelength reflectance differences, and elapsed time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an optical filter is used to emphasize color tone differences between bare skin and skin with foundation, then measurement precision is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent extracts the essential function of the optical filter (emphasizing color tone differences) and implements it through software-based image processing algorithms instead of physical optical components. The system captures full-spectrum images and uses computational methods to highlight the subtle color differences between bare skin and foundation-applied skin, eliminating the need for specialized optical filters.
Solution Approach 2:
The patent replaces the mechanical/optical system (physical optical filter) with an electronic/computational system (image processing algorithms). By using digital image processing techniques to analyze spectral data and emphasize color tone differences, the system achieves the same measurement precision without the complexity of physical filter components.
2Measurement precision
If an optical filter is used to emphasize color tone differences, then measurement precision is improved, but ease of operation worsens due to specialized imaging requirements
Solution Approach 1:
The patent creates a universal imaging system that can perform multiple functions without specialized equipment. The same imaging device and processing system can evaluate foundation application, analyze skin characteristics, and detect color tone differences without requiring different optical filters or specialized imaging modes, making the system easy to operate for various cosmetic evaluation tasks.
Solution Approach 2:
The system performs self-calibration and automatic adjustment through its image processing algorithms. The computational methods automatically adapt to different skin tones, lighting conditions, and foundation types, eliminating the need for manual filter selection or complex setup procedures, thereby improving ease of operation.
3Measurement precision
If spectral imaging with principal component analysis is used, then measurement precision is improved, but calculation complexity increases
Solution Approach 1:
The patent performs preliminary organization and structuring of spectral data before detailed analysis. By pre-processing the spectral images to extract key features and organize data in a standardized format, the system reduces the computational burden of subsequent principal component analysis, making the complex calculations more manageable and efficient.
Solution Approach 2:
The patent segments the spectral analysis into distinct processing stages: initial spectral image acquisition, preliminary feature extraction, principal component analysis, and final evaluation. This segmentation allows each stage to be optimized independently and reduces overall calculation complexity by breaking down the complex analysis into manageable steps.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables easy and accurate assessment of cosmetic material application on skin, including differentiation between bare skin and skin with applied makeup, amount of application, and elapsed time since application, without the need for specialized filters.
Implementation Method 1
a spectral reflectance measurement unit that measures a spectral reflectance from at least a portion of the spectral image
Data Source
AI summary
An applied state of a cosmetic material on skin is easily and accurately evaluated. A principal component analysis unit 4 performs principal component analysis on a spectral reflectance measured from a spectral image and calculates eigenvectors of first to third principal components and principal component scores of the first to third principal components based on the eigenvectors of the first to third principal components, and a skin evaluation unit 5 evaluates an applied state of a cosmetic material on skin using at least one of the calculated principal component scores of the first to third principal components and a preset threshold value or a discriminant function of each principal component.