Environmental constraints for flocking

Flocks are widely seen in nature and it is the way animals move together as a group. Flock simulation in computer animation has its practical use in crowd simulation and in the entertainment industry. Flocking Animation and Modeling Environment (FAME) is therefore being developed based on Craig R...

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Bibliographic Details
Main Author: Oh, Christina Li Choo
Other Authors: Ong Yew Soon
Format: Final Year Project (FYP)
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/45002
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author Oh, Christina Li Choo
author2 Ong Yew Soon
author_facet Ong Yew Soon
Oh, Christina Li Choo
author_sort Oh, Christina Li Choo
collection NTU
description Flocks are widely seen in nature and it is the way animals move together as a group. Flock simulation in computer animation has its practical use in crowd simulation and in the entertainment industry. Flocking Animation and Modeling Environment (FAME) is therefore being developed based on Craig Reynolds’ flocking framework, with the aim to help users to simulate flock according to their preferences. Many problems related to flock simulation have been studied and implemented in FAME, such as 3D shape constrained flocking and obstacle avoidance. One area that is lacking is flock simulation that takes into consideration of environmental factors such as water and wind. This dissertation investigates how potential field can be used intuitively to model these environmental conditions that affect flock movement, using simple and inexpensive computation as oppose to complex fluid dynamic simulations. Potential field is also used to implement the escape behavior of the agents.
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spelling ntu-10356/450022023-03-03T20:43:40Z Environmental constraints for flocking Oh, Christina Li Choo Ong Yew Soon School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Flocks are widely seen in nature and it is the way animals move together as a group. Flock simulation in computer animation has its practical use in crowd simulation and in the entertainment industry. Flocking Animation and Modeling Environment (FAME) is therefore being developed based on Craig Reynolds’ flocking framework, with the aim to help users to simulate flock according to their preferences. Many problems related to flock simulation have been studied and implemented in FAME, such as 3D shape constrained flocking and obstacle avoidance. One area that is lacking is flock simulation that takes into consideration of environmental factors such as water and wind. This dissertation investigates how potential field can be used intuitively to model these environmental conditions that affect flock movement, using simple and inexpensive computation as oppose to complex fluid dynamic simulations. Potential field is also used to implement the escape behavior of the agents. Bachelor of Engineering (Computer Science) 2011-06-08T02:42:05Z 2011-06-08T02:42:05Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45002 en Nanyang Technological University 48 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Oh, Christina Li Choo
Environmental constraints for flocking
title Environmental constraints for flocking
title_full Environmental constraints for flocking
title_fullStr Environmental constraints for flocking
title_full_unstemmed Environmental constraints for flocking
title_short Environmental constraints for flocking
title_sort environmental constraints for flocking
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
url http://hdl.handle.net/10356/45002
work_keys_str_mv AT ohchristinalichoo environmentalconstraintsforflocking