A Texture-Driven Model for Male Baldness

October 2022

Dennis Giovani Balreira, Luiz Henrique de Figueiredo, Marcio Volkweis, Marcelo Walter

male baldness Hamilton-Norwood classification hair loss hair dynamics heat diffusion dermatologist hair transplants

TLDR The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.

The document presents the first computational model of male baldness, simulating hair loss based on the Hamilton-Norwood classification. This model uses a 3D head model and its corresponding texture to simulate hair dynamics over time, changing the texture according to a level of baldness using heat diffusion. The results were assessed by a dermatologist specializing in hair transplants, who found them plausible and valuable for clinical use. This method could be beneficial for medical research, clinical use, and entertainment. The focus of the study is on white males, with other ethnicities and females left for future work.

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Research cited in this study

4 / 4 results

research Androgenetic Alopecia: A Review

153 citations, March 2017 in “Endocrine”

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research Predicting the Permanent Safe Donor Area for Hair Transplantation in Koreans with Male Pattern Baldness According to the Position of the Parietal Whorl

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research Male Androgenetic Alopecia

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Hair loss in men treated best with early medication or transplant, new treatments researched.

research Prevalence of Male and Female Pattern Hair Loss in Maryborough

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Hair loss common in Australia; men affected earlier, more often than Asians; women less concerned.

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research A Texture-Driven Model for Male Baldness

October 2022

The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.