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Use of a biologically adapted reaction-diffusion model to generate hair properties for synthetic creatures

conference contribution
posted on 2017-01-30, 00:00 authored by Siew Mai Bong, Shaun BangayShaun Bangay
One of the major challenges in computer graphics is to reproduce natural hair on virtual animals. Existing methods focus on reproducing the appearance of natural hair, however, this paper focuses on reproducing the natural development process. Previously, a reaction-diffusion model is found to mimic natural hair follicle formation. In this paper, an investigation is conducted into this reaction-diffusion model to identify the relationships between the input parameters and resulting hair follicle pattern, analyse the differences between the results from the reaction-diffusion model and previous work for generating point distributions, and demonstrate the use of the hair patterns from the reaction-diffusion model on a 3D model. Results indicate that the hair follicle patterns from this reaction-diffusion model have interesting properties that are not found in previous work in generating point distributions, especially the presence of clear stretch directions, mimicking the stretching of the skin in natural hair formation. Further analysis into these hair follicle patterns found that these properties may be the reason why these patterns appear "natural".

History

Event

Australasian Computer Science Week. Multiconference (2017 : Geelong, Victoria)

Issue

Article no : 65

Pagination

1 - 10

Publisher

Association for Computing Machinery

Location

Geelong, Victoria

Place of publication

New York, N.Y.

Start date

2017-01-30

End date

2017-02-03

ISBN-13

9781450347686

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2017, The Authors

Title of proceedings

ACSW 2017 : Proceedings of the Australasian Computer Science Week Multiconference

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