Withering fruits: Vegetable matter decay and fungus growth

Authors: Cirdei, B. and Anderson, E.

http://eprints.bournemouth.ac.uk/31250/

https://www.acm.org/publications

Start date: 12 August 2018

Pages: 74:1-74:2

Publisher: Association for Computing Machinery

ISBN: 978-1-4503-5817-0

DOI: 10.1145/3230744.3230783

We propose a parametrised method for recreating drying and decaying vegetable matter from the fruits category, taking into account the biological characteristics of the decaying fruit. The simulation addresses three main phenomena: mould propagation, volume shrinking and fungus growth on the fruit's surface. The spread of decay is achieved using a Reaction-Diffusion method, a Finite Element Method is used for shrinking and wrinkling of the fruit shell, while the spread of the fruit's fungal infection is described by a Diffusion Limited Aggregation algorithm. We extend existing fruit decay approaches, improving the shrinking behaviour of decaying fruits and adding independent fungal growth. Our approach integrates a user interface for artist directability and fine control of the simulation parameters.

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Authors: Cirdei, B. and Anderson, E.F.

http://eprints.bournemouth.ac.uk/31250/

Journal: ACM SIGGRAPH 2018 Posters, SIGGRAPH 2018

ISBN: 9781450358170

DOI: 10.1145/3230744.3230783

© 2018 Copyright held by the owner/author(s). We propose a parametrised method for recreating drying and decaying vegetable matter from the fruits category, taking into account the biological characteristics of the decaying fruit. The simulation addresses three main phenomena: mould propagation, volume shrinking and fungus growth on the fruit's surface. The spread of decay is achieved using a Reaction-Diffusion method, a Finite Element Method is used for shrinking and wrinkling of the fruit shell, while the spread of the fruit's fungal infection is described by a Diffusion Limited Aggregation algorithm. We extend existing fruit decay approaches, improving the shrinking behaviour of decaying fruits and adding independent fungal growth. Our approach integrates a user interface for artist directability and fine control of the simulation parameters.

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