Automated Facial Aesthetics Evaluation: Performance of the Beauty Scanner-Face Analyzer in Measuring Symmetry and...

The integration of digital tools in aesthetic medicine has enhanced the precision of facial feature analysis. Using concepts like the Golden Ratio, these technologies enable more objective assessments of facial proportions and symmetry. The beauty scanner-face analyzer (BS-FA) app offers a digital approach to evaluate geometric proportions and facial alignment, providing valuable data for preoperative planning in plastic surgery and aesthetic treatments.

This study evaluates the effectiveness of the beauty scanner-face analyzer (BS-FA) app in assessing geometric facial proportions based on the Golden Ratio and analyze facial alignment for symmetry-key factors in plastic surgery and aesthetic treatments.

A dataset of 14 front-facing images from 7 females and 7 males was processed using the BS-FA app. The app analyzes various facial zones by dividing the face into horizontal and vertical sections and measures the proportions of features like the eyes, nose, and mouth relative to idealized aesthetic standards. The app's output includes a beauty score, geometric proportions, and symmetry assessment. Additionally, three evaluators independently tested the same images multiple times to assess the consistency of the measurement values provided by the app. Ideal proportional ranges were established by senior plastic surgeons, serving as a useful reference for both plastic surgeons and app users, and providing guidance for interpreting facial measurements and identifying potential discrepancies in facial proportions.

The BS-FA app successfully provided detailed measurements of facial proportions and symmetry across 14 models (7 females and 7 males). The proportion analysis, based on the Golden Ratio, revealed varying degrees of alignment with ideal facial proportions, particularly in features like the nose, eyes, and mouth. The values for all 14 images remained consistent after being tested multiple times by the three evaluators using the same set of images. The symmetry assessment showed high levels of balance, with symmetry percentages ranging from 93 to 99% across different facial features. While most faces exhibited near-perfect symmetry, slight asymmetries were noted in features such as the eyebrows and mouth, indicating potential areas for aesthetic refinement.

The BS-FA app offers valuable insights into facial symmetry and proportions, aiding preoperative planning in plastic surgery. While it supports balanced and natural results, its limited sample size and the subjective nature of beauty mean it should complement, not replace, surgeons' expertise. Future improvements should include diverse datasets, racial representation, aging features, and address privacy concerns. The ideal proportional ranges from senior plastic surgeons enhance its clinical relevance for personalized decision-making.

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