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Virtual climbing plants competing for space

Authors: Bedrich Benes; Erik Uriel Millán;

Virtual climbing plants competing for space

Abstract

An old algorithm for visual simulation of climbing plants is extended here. Plants are modeled as systems of oriented particles that are able to sense their environment. Particles move to the best locations using directed random walk. We use the phenomenon of traumatic reiteration for critical cases. If there is no location for further growth possible the particle dies, but before that it sends a signal that is propagated down in the plant structure. This signal activates the closest possible sleeping particle that takes its job. We use an associated voxel space for collisions and space occupancy detection as well as for evaluating the illumination of the plant organs. The algorithm is fast, easy to implement, and runs interactively even for quite large scenes on a medium-class computer. We believe that this approach can be used as an interactive technique in architecture, computer games, computer animation, etc.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
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