Digital Beauty Standards: AI Approaches to Objectively Measure and Score Beauty Quotients

Mano Christaine Angelo J.*, Mahizha S. I.**, Domilin Shyni I.***, Rexiline Sheeba I.****
* Department of Conservative Dentistry and Endodontics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
** Department of Information Technology, St. Xavier's Catholic College of Engineering, Chunkankadai, Nagercoil, Tamil Nadu, India.
*** Department of Information Technology, St. Joseph's College of Engineering, Chennai, Tamil Nadu, India.
**** Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Periodicity:October - December'2024
DOI : https://doi.org/10.26634/jip.11.4.21513

Abstract

Artificial intelligence (AI) has gained prominence in aesthetic dentistry, where precision and personalization are key to enhancing patient satisfaction. Facial aesthetics, influenced by symmetry, proportionality, and adherence to the golden ratio, play a significant role in perceived attractiveness. The Beauty Quotient (BQ), a novel metric based on mathematical ratios and geometric analysis, offers an objective framework for evaluating facial symmetry and balance. This study aims to validate the BQ as a reliable tool for correlating objective facial measurements with subjective beauty perceptions. Symmetry in the eye and mouth regions was calculated using a defined formula and compared with the golden ratio for proportionality. The BQ, computed through a composite formula incorporating symmetry, golden ratio adherence, and facial proportions, was normalized to a scale with customizable weights. The BQ was applied to a sample of participants to evaluate individual facial aesthetics. By quantifying facial attractiveness through AI-driven techniques, this study bridges subjective perceptions with objective mathematical principles, advancing AI's role in beauty assessment. Furthermore, AI is utilized to optimize smile design, symmetry, and facial harmony in dentistry, establishing objective standards that enhance treatment planning and patient outcomes.

Keywords

Artificial Intelligence in Dentistry, Beauty Quotient Calculation, AI-Driven Beauty Metrics, Facial Landmark Detection (FLD), Dental Imaging Analysis.

How to Cite this Article?

Angelo, J. M. C., Mahizha, S. I., Shyni, I. D., and Sheeba, I. R. (2024). Digital Beauty Standards: AI Approaches to Objectively Measure and Score Beauty Quotients. i-manager’s Journal on Image Processing, 11(4), 1-9. https://doi.org/10.26634/jip.11.4.21513

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