Phiora - Facial Symmetry Rating Using the Golden Ratio

Phiora operates as a Python-based facial analysis system to investigate how human facial aesthetics relate to the golden ratio, a mathematical constant historically linked to symmetry and beauty. Through the application of computer vision methods including OpenCV and deep neural network-based facial landmark detection, Phiora discerns essential facial reference points to compute proportional ratios indicative of facial harmony. Through these measurements, it produces a straightforward aesthetic score between 1 and 10 which delivers a numerical assessment of facial symmetry based on mathematical foundations. Phiora’s achievements extend beyond mere scoring. The system analyzes facial geometries to provide information on face shape and provide customized enhancements, including hairstyle recommendations that suit individual facial contours. Phiora emerges as an intricate tool set engineered for simplicity and low weight while providing immediate feedback across diverse sectors such as cosmetic science, Augmented Reality or Virtual Reality development digital fashion, educational tools, and computational aesthetics research.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-14
DOI
https://doi.org/10.5281/zenodo.23373245
Primary Topic
Face recognition and analysis
Type
preprint
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Phiora - Facial Symmetry Rating Using the Golden Ratio

Pratham Vishwakarma
Zenodo (CERN European Organization for Nuclear Research)
Face recognition and analysis
preprint

Phiora - Facial Symmetry Rating Using the Golden Ratio

Pratham Vishwakarma
preprint en

Abstract

Phiora operates as a Python-based facial analysis system to investigate how human facial aesthetics relate to the golden ratio, a mathematical constant historically linked to symmetry and beauty. Through the application of computer vision methods including OpenCV and deep neural network-based facial landmark detection, Phiora discerns essential facial reference points to compute proportional ratios indicative of facial harmony. Through these measurements, it produces a straightforward aesthetic score between 1 and 10 which delivers a numerical assessment of facial symmetry based on mathematical foundations. Phiora’s achievements extend beyond mere scoring. The system analyzes facial geometries to provide information on face shape and provide customized enhancements, including hairstyle recommendations that suit individual facial contours. Phiora emerges as an intricate tool set engineered for simplicity and low weight while providing immediate feedback across diverse sectors such as cosmetic science, Augmented Reality or Virtual Reality development digital fashion, educational tools, and computational aesthetics research.

Zenodo (CERN European Organization for Nuclear Research)
D.Y. Patil University (IN)
Face recognition and analysis
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