Research

Advancing facial analysis and beauty science research to lead the future of personalized, data-driven aesthetics.

  • How AI scores facial symmetry across ethnic groups

    Facial symmetry has long been associated with attractiveness, but how does it vary across ethnicity and gender?

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  • The science behind non-surgical aesthetic recommendations

    This research examines the viability of personalized improvement plans that do not rely on surgical intervention.

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  • Redefining 'feature potential' through AI-driven ratios

    
The result is a more practical and achievable approach to aesthetic improvement.

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  • Quantifying facial harmony: A symmetry-weighted model

    This study introduces a computational model for facial harmony that weights the influence of bilateral symmetry against facial thirds and fifths.

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  • AI-driven protocol personalization using lifestyle metadata

    We demonstrate how incorporating climate, ethnicity, and age factors into QOVES protocols significantly improves recommendation accuracy.

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