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Computer Animation Algorithms and Techniques

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Title: Computer Animation Algorithms and Techniques


1
Computer AnimationAlgorithms and Techniques
Behavioral Animation Crowds
2
Crowd Applications
For evaluation Building evacuation Architecture
evaluation For training Military
scenarios Emergency response For entertainment
e.g., background crowds games films
3
Qualities of crowd
Emergent behavior - similar to flocking, flocking
system Homogeneity Quantity density - average
distance between Individual processing amount
of computation Intelligence - reasoning
capability Physics Function simple traversal,
actions
4
Execution environment
Real-time v. Off-line computation simple
computations avoid n-squared algorithms size
limited
5
Spatial organization
Cellular decomposition Regular 2D grid Adjacency
accessible Density limited Cells define
obstructions
Continuous space Step in any direction Need to
decipher obstructions Perception needed
6
Perception
Zonal approach identify perceivable zones
Sensory approach
Synthetic vision approach
7
Navigation
Fluid flow density fields, potential functions
Particle systems Individual navigation
Flocking systems individual perception,
navigation
Rule-based
Cognitive modeling
Cellular automata
8
Panic Congestion handling
Personal space
Packing people during evacuation
Stairwell traversal
Exit awareness
9
Uniformity, granularity
Background noise Activity without intention
Statistical behavior On average, intentional
activity
Individuality Believable activity at level of
individual
10
Motion Navigation
Path planning
Roadmaps
Passing on pathways
Potential fields
11
Structure in crowds
Homogenous no individuality
Subgroups Group by belief systems
A collection of Individuals personality modeling
12
Penn Station
See animations
13
Other topics
Heterogeneous pedestrians and cars
Data driven crowds image processing
Comparison to real-world situations
14
Massive
http//www.massivesoftware.com/
Commercial de facto standard
See animation
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