Personalized Beauty Processing via Region-Specific Parameter Extraction
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Solution Overview
Problem
Current beauty processing technologies fail to meet users' personalized beauty needs, resulting in suboptimal beauty effects due to the use of default beauty parameters that do not account for individual facial characteristics.
Innovation Solution
A beauty processing method and apparatus that extracts original parameter information from a face image, determines site-specific beauty parameters based on this information, and processes the image to generate a target face image, allowing for personalized beauty adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If default beauty parameters are used for all users, then the processing speed and simplicity are improved, but the personalization and beauty effect are worsened
Solution Approach 1:
The patent segments the face into multiple regions (eye region, nose region, mouth region, cheek region) and applies different beauty processing parameters to each region based on extracted facial features. This allows personalized processing for different facial areas while maintaining efficient automated operation.
Solution Approach 2:
The patent extracts local facial feature parameters (eye distance, nose length, mouth width, cheekbone position) and uses these to determine region-specific beauty parameters. Each facial region receives customized processing based on its local characteristics, achieving personalization without sacrificing processing efficiency.
2Ease of operation
If simple default parameters are applied, then the ease of operation is improved, but the measurement precision and beauty effect are worsened
Solution Approach 1:
The system automatically extracts facial feature parameters and determines beauty parameters without requiring user input or manual adjustment. The device performs self-service by analyzing the user's facial characteristics and applying appropriate beauty parameters, maintaining ease of operation while achieving high measurement precision through automated feature extraction.
Solution Approach 2:
The patent changes the parameters from fixed default values to dynamic values that are determined based on extracted facial features. The beauty parameters (such as smoothing strength, whitening intensity, contouring degree) are adjusted according to the measured facial characteristics, achieving both precision and ease of use.
3Device complexity
If standardized beauty processing is used, then the device complexity is reduced, but the adaptability to individual facial features is worsened
Solution Approach 1:
The patent performs preliminary action by pre-defining multiple beauty parameter sets corresponding to different facial regions and features. The system prepares these parameter sets in advance and selects the appropriate ones based on the extracted facial characteristics, reducing the need for complex real-time calculations while maintaining high adaptability.
Solution Approach 2:
The system applies local quality by using region-specific beauty parameters for different facial areas (eyes, nose, mouth, cheeks) based on local feature extraction. This approach maintains relatively simple overall system architecture while achieving sophisticated adaptation to individual facial features through localized processing.
Data Source
AI summary
Provided are a beauty processing method and apparatus. The method includes: obtaining an original face image, and extracting original parameter information corresponding to a site feature of a to-be-beautified site; determining, based on the original parameter information, a site beauty parameter corresponding to the to-be-beautified site; and processing the to-be-beautified site based on the site beauty parameter to generate a target face image. Thus, the personalized beauty parameters can be generated to meet the user's personalized beauty needs, improving the accuracy of the beauty parameter and enhancing the beauty effect.


