Inherent Noise‐Aware Insect Swarm Simulation. (17th January 2014)

• Record Type: Journal Article
• Authors: Wang, Xinjie; Jin, Xiaogang; Deng, Zhigang; Zhou, Linling
• Is Part Of: Computer graphics forum. Volume 33:Number 6(2014)
• Page Start: 51
• Page End: 62
• Publication Date: 2014-01-17
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12277
• Languages: English
• ISSNs: 0167-7055

Abstract

<abstract abstract-type="graphical" xml:lang="en" id="cgf12277-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Collective behavior of winged insects is a wondrous and familiar phenomenon in the real world. In this paper, we introduce a highly efficient field‐based approach to simulate various insect swarms. Its core idea is to construct a smooth yet noise‐aware governing velocity field that can be further decomposed into two sub‐fields: (i) a divergence‐free curl noise field to model noise‐induced movements of individual insects in a swarm, and (ii) an enhanced global velocity field to control navigational paths in a complex environment along which all the insects in a swarm fly. <boxed-text content-type="graphic" position="anchor" orientation="portrait"><graphic position="anchor" mimetype="image" xlink:href="ark:/27927/pgh1f92m8gr" orientation="portrait" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /></boxed-text></p> </abstract>