A Leaf Modeling and Multi-Scale Remeshing Method for Visual Computation via Hierarchical Parametric Vein and Margin Representation

This paper introduces a novel hierarchical structured representation for leaf modeling and proposes a corresponding multi-resolution remeshing method for large-scale visual computation. Leaf modeling is a very difficult and challenging problem due to the wide variations in the shape and structures a...

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Published in:Frontiers in plant science Vol. 9; p. 783
Main Authors: Wen, Weiliang, Li, Baojun, Li, Bao-jun, Guo, Xinyu
Format: Journal Article
Language:English
Published: Switzerland Frontiers Media SA 26.06.2018
Frontiers Media S.A
Subjects:
Computation
Computer graphics
Curves
Data structures
Delaunay triangulation
geometric modeling
Introduced species
Leaves
Light
Light distribution
Manifolds (mathematics)
Methods
Modelling
multi-scale remeshing
Photosynthesis
plant leaf
Plant Science
Plant species introduction
Representations
Resampling
Simulation
Texture mapping
vein
Veins (plant anatomy)
visual computation
geometric modeling
visual computation
vein
plant leaf
multi-scale remeshing
ISSN:1664-462X, 1664-462X
Online Access:Get full text
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Summary:This paper introduces a novel hierarchical structured representation for leaf modeling and proposes a corresponding multi-resolution remeshing method for large-scale visual computation. Leaf modeling is a very difficult and challenging problem due to the wide variations in the shape and structures among different species of plants. Firstly, we introduce a Hierarchical Parametric Veins and Margin (HPVM) representation approach, which describes the leaf biological structures and exact geometry via interpolation of parametric curves from the extracted vein features from non-manifold data. Secondly, a parametric surface model is constructed using HPVM with geometric and structured constraints. Finally, for a given size, we adapt a multi-step discrete point resampling strategy and a CDT-based (Constrained Delaunay Triangulation) meshing method to generate a mesh model. Our representation consists of three coupled data structures, a core hierarchical parametric data structure of veins and margin for the leaf skeleton, the corresponding parametric surface model, and a set of unstructured triangular meshes with user-specified density for the leaf membrane. Numerical experiments show that our method can obtain high quality meshes from the scanned non-manifold mesh data with well-preserved biological structures and geometry. This novel approach is suitable for effective leaf simulation, rendering, texture mapping, and simulation of light distribution in crop canopies.
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Reviewed by: Gerhard Buck-Sorlin, Agrocampus Ouest, France; Jin Chen, University of Kentucky, United States
This article was submitted to Plant Biophysics and Modeling, a section of the journal Frontiers in Plant Science
Edited by: Hartmut Stützel, Leibniz Universität Hannover, Germany
ISSN:1664-462X
1664-462X
DOI:10.3389/fpls.2018.00783