A study on non-static environment, flow field and splitting formation in FAME

Flocks are often used to describe a cluster of animals or particles. In computer animations, flocks behaviours are studied extensively and simulations were built upon it. Flock simulations are gathering much interest in recent years, especially in the entertainment industry where this technology can...

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Main Author: Seow, Yi Fan.
Other Authors: Ong Yew Soon
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/52026
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-520262023-03-03T20:45:52Z A study on non-static environment, flow field and splitting formation in FAME Seow, Yi Fan. Ong Yew Soon School of Computer Engineering Centre for Computational Intelligence DRNTU::Engineering::Computer science and engineering Flocks are often used to describe a cluster of animals or particles. In computer animations, flocks behaviours are studied extensively and simulations were built upon it. Flock simulations are gathering much interest in recent years, especially in the entertainment industry where this technology can greatly reduce the time and production cost. The Flocking Animation and Modelling Environment (FAME) is a technology developed by Centre for Computational Intelligence (C2I) in NTU. It aims to automate multiple agents in real-time, reacting together as a flock. They have enjoyed some success with Dark Dot. Despite that, much more can be done into FAME to widen and enrich its application towards different genre of games. This project studies on trends and various aspects of games and identify core functionality that is often seen. Then comparing it to FAME, areas of improvement or implementation can be identified such that it the FAME library can be further enhanced to be more dynamic and easier for developers to use. Finally, a game created from this project will be used to demonstrate the application of FAME in games, as well as the improvised features done through the project. Bachelor of Engineering (Computer Science) 2013-04-19T05:10:31Z 2013-04-19T05:10:31Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52026 en Nanyang Technological University 63 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Seow, Yi Fan.
A study on non-static environment, flow field and splitting formation in FAME
description Flocks are often used to describe a cluster of animals or particles. In computer animations, flocks behaviours are studied extensively and simulations were built upon it. Flock simulations are gathering much interest in recent years, especially in the entertainment industry where this technology can greatly reduce the time and production cost. The Flocking Animation and Modelling Environment (FAME) is a technology developed by Centre for Computational Intelligence (C2I) in NTU. It aims to automate multiple agents in real-time, reacting together as a flock. They have enjoyed some success with Dark Dot. Despite that, much more can be done into FAME to widen and enrich its application towards different genre of games. This project studies on trends and various aspects of games and identify core functionality that is often seen. Then comparing it to FAME, areas of improvement or implementation can be identified such that it the FAME library can be further enhanced to be more dynamic and easier for developers to use. Finally, a game created from this project will be used to demonstrate the application of FAME in games, as well as the improvised features done through the project.
author2 Ong Yew Soon
author_facet Ong Yew Soon
Seow, Yi Fan.
format Final Year Project
author Seow, Yi Fan.
author_sort Seow, Yi Fan.
title A study on non-static environment, flow field and splitting formation in FAME
title_short A study on non-static environment, flow field and splitting formation in FAME
title_full A study on non-static environment, flow field and splitting formation in FAME
title_fullStr A study on non-static environment, flow field and splitting formation in FAME
title_full_unstemmed A study on non-static environment, flow field and splitting formation in FAME
title_sort study on non-static environment, flow field and splitting formation in fame
publishDate 2013
url http://hdl.handle.net/10356/52026
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