Modeling and visualization of leaf venation patterns

By Adam Runions, Martin Fuhrer, Brendan Lane, Pavol Federl, Anne-Gaëlle Rolland-Lagan, Przemyslaw Prusinkiewicz. ACM Transactions on Graphics, 2005

382 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/78632cbd155689ee30f993852d102a475b1b0f8e

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Citations in the corpus

A Survey of Surface Reconstruction from Point Clouds (2017, neutral): “Tubular components exhibiting piecewise smooth radii variations are also suitable to model organic and natural geometry, in particular trees [RFL ∗ 05, NFD07, LYO ∗ 10].”
Deep-plant: Plant identification with convolutional neural networks (2015, background): “Unlike [2, 8, 12, 21, 22] where they use a set of heuristic rules that are hard to replicate.”
State of the Art in Surface Reconstruction from Point Clouds (2014, neutral): “Tubular components exhibiting piecewise smooth radii variations are also suitable to model organic and natural geometry like trees [RFL ∗ 05, NFD07, LYO ∗ 10] or blood vessels [KQ04].”
How deep learning extracts and learns leaf features for plant classification (2017, background): “Existing studies that have employed venation to carry out plant classification are [40, 41, 42, 18, 43].”
Control of leaf vascular patterning by polar auxin transport. (2006, background): “Reconciling closed vein networks with a polar flow model has been subject to debate, and even recent, otherwise highly accurate simulations of natural venation patterns are specifically challenged when simulating the multitude of connections within networks (Runions et al. 2005).”
A General Leaf Area Geometric Formula Exists for Plants—Evidence from the Simplified Gielis Equation (2018, background): “Leaf shape can affect the leaf venation patterns [11,12], and leaf vein density (which is usually defined as total leaf vein length over area) has been demonstrated to be a strong predictor of photosynthetic rates [13].”