Inference of structural plant growth from discrete samples

We present an approach for the rapid generation of plant growth models from a series of explicit growth stages. Multiple structural plant descriptions, which can be gained from 3D scans, are automatically inferred to an L-system grammar. Morphological leaf features are incorporated into this model by parameterization of the structural description .