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國立雲林科技大學
National Yunlin University of Science and Technology
Modelling Fish Behaviour
Advisor : Dr. Hsu
Presenter : Jia-Hao Yang
Author
: Kingsley Stephens, Binh pham and Aster Wardhani
Computer graphics and interactive techniques
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Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Outline
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Motivation
Objective
Introduction
Method
Conclusions
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Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Motivation
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Current behavioral systems focus on either
advanced development of animation or
artificial intelligence aspects.
It doesn’t emphasize both simplicity and
effciency.
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N.Y.U.S.T.
I. M.
Objective
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The contribution of this paper is to focus on
the practical modelling of fish for game
production.
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Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Introduction
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When studying real fish we are concerned with three
aspects:
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Behavior model : it incorporates sets of motivations &
behaviors to define particular species of fish.
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Locomotion : anguillifom, carangiform and subcarangiform.
Sense : hearing, vision and chemoreception (smell & taste)
Behavior : predators, prey, or social animals
Motivation : hunger, fear
Behavior : wander, school, hunt and flee
Different species of fish contain different combinations
of motivations & behavious.
In this paper, we just refer to the two species : fish &
sharks.
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Intelligent Database Systems Lab
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Method
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Perception
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Vision & collision detection
Mental Model
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Motivational model
Hunger :
Fear :
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Behavior routines
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Avoid obstacle, wander, hunt, flee, school
Behavioral selection
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State machine
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Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Method
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To animation a fish in this manner requires:
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Attaching a skeleton to the mesh
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Describing the movement of the skeleton for swimming or
else.
How about the orientation, velocity…?
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Point mass
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Intelligent Database Systems Lab
N.Y.U.S.T.
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Results and Evaluation
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Animation & movement
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Behavior & interaction
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Realistic & suitably smooth
The simple behavioral system can create a complex
interaction.
Production process
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It’s methodology produced is simple, modular and
practical.
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Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Conclusion
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Though the design framework, we can create
more intelligence fish that could act
individually based on their own motivations
and view of the world simplicity and dfficiency.
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Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
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Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
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Intelligent Database Systems Lab