Facial Attractiveness Analysis Using Curvature Data Extraction
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Solution Overview
Problem
Current systems for facial and body attractiveness analysis fail to accurately assess attractiveness scores as they do not consider curvatures of physical features, relying instead on size, position, symmetry, and spatial data which are not comprehensive indicators of beauty.
Innovation Solution
An electronic analysis platform that receives image data, extracts curvature data through methods like 3-D analysis, pixel gradation, and luminance contrast to provide an attractiveness score based on curvature information, allowing for a more detailed evaluation of facial and bodily features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods using size, position, symmetry, and spatial data are used to analyze facial features, then the analysis system is simple to implement, but the accuracy of attractiveness assessment is insufficient
Solution Approach 1:
The patent applies curvature analysis to facial features by detecting and measuring the curvature of skin surfaces and facial contours. The system calculates curvature values at multiple points across the face and uses these curvature measurements as key indicators for attractiveness assessment, moving beyond traditional flat 2D analysis to incorporate 3D surface geometry information.
Solution Approach 2:
The patent transitions from traditional 2D facial analysis to 3D curvature-based analysis by introducing depth and surface geometry as new dimensions. The system captures facial images and extracts curvature information that represents the third dimension, enabling more comprehensive assessment of facial features including cheekbones, jawline, and other contoured structures.
2Measurement precision
If curvature data analysis is added to the attractiveness assessment system, then the accuracy of beauty evaluation is improved, but the complexity of the analysis platform increases
Solution Approach 1:
The patent performs preliminary curvature extraction and processing on facial images before the main attractiveness assessment. The system pre-calculates curvature maps and stores them for efficient retrieval during evaluation, reducing the computational burden during actual assessment and streamlining the overall process.
Solution Approach 2:
The patent introduces curvature maps as an intermediary representation between the raw facial image and the final attractiveness score. These curvature maps serve as a intermediate data structure that captures essential geometric information in a processed format, facilitating easier integration into the assessment algorithm and reducing direct computational complexity.
Data Source
AI summary
Systems and methods of providing an attractiveness analysis are disclosed. In some embodiments, an electronic analysis platform is configured to obtain image data and curvature data to provide an attractiveness analysis to a user via a physical interface. Curvature data could comprise any data indicative of a curvature of a physical feature or a depiction thereof, including shadow data and pixilation data.