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A Biologically Inspired Hair Aging Model
Arthur E. Balbão
arthurbalbao@gmail.com
Marcelo Walter
marcelo.walter@inf.ufrgs.br

In ACM Transactions on Graphics (Proceedings of SIGGRAPH ASIA 2022)

Teaser

Hair Aging simulation from our system. From left to right, increasing the hair aging for the same virtual character. From top to bottom: white female with reddish hair, white male, and black male with facial hair.

Abstract

Hair rendering has been a focal point of attention in computer graphics for the last couple of decades. However, there have been few contributions to the modeling and rendering of the natural hair aging phenomenon. We present a new technique that simulates the process of hair graying and hair thinning on digital models due to aging. Given a 3D human head model with hair, we first compute a segmentation of the head using K-means since hair aging occurs at different rates in distinct head parts. Hair graying is simulated according to recent biological knowledge on aging factors for hairs, and hair thinning decreases hair diameters linearly with time. Our system is biologically inspired, supports facial hair, both genders and many ethnicities, and is compatible with different lengths of hair strands. Our real-time results resemble real-life hair aging, accomplished by simulating the stochastic nature of the process and the gradual decrease of melanin.

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ACM Copyright Notice: © Copyright held by the owner/authors. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive version was published in ACM TOG, Vol. 41, 6, Dec 2022 — https://doi.org/10.1145/3550454.3555444.

Reference

Citation

Arthur E. Balbão and Marcelo Walter. 2022. A Biologically Inspired Hair Aging Model. ACM Trans. Graph. 41, 6, Article 223 (December 2022), 9 pages. https://doi.org/10.1145/3550454.3555444

BibTeX

@article{10.1145/3550454.3555444,
author = {Balb\~{a}o, Arthur E. and Walter, Marcelo},
title = {A Biologically Inspired Hair Aging Model},
year = {2022},
issue_date = {December 2022},
volume = {41},
number = {6},
url = {https://doi.org/10.1145/3550454.3555444},
doi = {10.1145/3550454.3555444},
journal = {ACM Trans. Graph.},
month = {nov},
articleno = {223},
numpages = {9},
keywords = {hair rendering, hair aging, computer graphics}
}

  

Keywords

Hair Aging, Hair Greying, Rendering, Simulation.

Acknowledgements

Authors would like to thank CNPq and CAPES for their financial support.

Last updated: March 2023.