We describe a method for generating flower growth animation in which a petal surface and shape can be evolved in real time. The novelty of the method proposed here is the use of a general framework that combines a mass-spring model with control points embedded in a bucolic patch formulation. In addition, genetic algorithm techniques have been used to optimize the collision avoidance among the flower organs and the environment. The model generates non-deterministic evolutionary results which give more realistic and varied growth than can be obtained using pre-defined surfaces or interpolating between given initial and final shapes.
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