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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| Veröffentlicht in: | Frontiers in plant science Jg. 9; S. 783 |
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| Abstract | 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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| AbstractList | 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. 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.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. |
| Author | Li, Baojun Guo, Xinyu Li, Bao-jun Wen, Weiliang |
| AuthorAffiliation | 3 Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology , Dalian , China 2 Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture , Beijing , China 1 Beijing Research Center for Information Technology in Agriculture , Beijing , China |
| AuthorAffiliation_xml | – name: 3 Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology , Dalian , China – name: 1 Beijing Research Center for Information Technology in Agriculture , Beijing , China – name: 2 Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture , Beijing , China |
| Author_xml | – sequence: 1 givenname: Weiliang surname: Wen fullname: Wen, Weiliang – sequence: 2 givenname: Baojun surname: Li fullname: Li, Baojun – sequence: 3 givenname: Bao-jun surname: Li fullname: Li, Bao-jun – sequence: 4 givenname: Xinyu surname: Guo fullname: Guo, Xinyu |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29997632$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1155/2009/890917 10.1016/j.biosystemseng.2014.01.010 10.1016/S2095-3119(14)60776-0 10.12733/jics20105692 10.1016/j.cma.2004.10.008 10.1111/cgf.12009 10.1145/1073204.1073251 10.1016/j.agrformet.2011.02.016 10.3390/s140202489 10.1145/41958.41981 10.1002/nme.1620372103 10.1104/pp.114.248971 10.1002/cav.1723 10.1071/FP12056 10.4304/jsw.6.4.670-677 10.1071/FP14058 10.1016/0022-5193(68)90079-9 10.1145/258734.258849 10.1111/j.1467-8659.2012.03200.x 10.1016/j.fcr.2015.12.005 10.3389/fpls.2016.01518 10.1016/j.comgeo.2004.11.001 10.1016/j.cub.2013.03.029 10.1155/2013/619385 10.1002/cav.88 10.1093/jxb/erp345 10.1016/j.mcm.2011.10.064 10.3389/fpls.2016.01321 10.1093/jxb/erv108 10.1145/2461912.2461913 10.1007/s11704-015-4472-8 10.1016/j.ecolmodel.2013.11.002 10.14257/ijmue.2014.9.5.34 10.1071/FP08082 10.1109/LGRS.2006.887064 10.1093/jxb/erl142 10.1111/nph.12253 10.1006/jagm.1995.1021 10.3389/fpls.2017.00373 10.1016/j.matcom.2010.09.003 10.1016/j.cad.2013.08.019 10.1016/j.compag.2016.01.010 10.1016/S2095-3119(16)61597-6 10.1145/1141911.1141929 |
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| Copyright | 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2018 Wen, Li, Li and Guo. 2018 Wen, Li, Li and Guo |
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| Keywords | geometric modeling visual computation vein plant leaf multi-scale remeshing |
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| SubjectTerms | 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 |
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| Title | A Leaf Modeling and Multi-Scale Remeshing Method for Visual Computation via Hierarchical Parametric Vein and Margin Representation |
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