“Modelling behavior in a school of fish by fast synthetic distributed vision” by Rinaldi, Malizia and Parent

The motion of large groups of characters is both attractive (for realism) and complex to simulate. One of the problems in large groups simulation is the hard work from the animator for creating a behavior for each agent [Reynolds 1987]. For example, considering a big number of fishes, it is just not feasible to define each relation from each agent with all the others agents in the same group. For this reason, we built a model for the crowd behavior that is distributed over agents and over time. We, also, intend to work with the synthetic vision of each character for modelling group behavior against the environment, thus including dynamic objects, obstacle avoidance and schooling.

1. Noser, H., Renault, O., Thalmann, D., and Thalmann, N., 1995. Navigation for digital actors based on synthetic vision, memory and learning, comput. graphics, vol. 19, pp. 7–19.
2. Reynolds, C. W. 1987. Flocks, herds and schools: A distributed behavioral model. In SIGGRAPH ’87: Proceedings of the 14th annual conference on Computer graphics and interactive techniques, ACM Press, New York, NY, USA, 25–34.
3. Tu, X., and Terzopoulos, D. 1994. Artificial fishes: Physics, locomotion, perception, behavior. In Proceedings of SIGGRAPH 1994, ACM Press / ACM SIGGRAPH, A. Glassner, Ed., Computer Graphics Proceedings, Annual Conference Series, ACM, 43–50.