Journal article
Surface reconstruction of wheat leaf morphology from three-dimensional scanned data
Functional Plant Biology, Vol.42(5), pp.444-451
2015
Abstract
Realistic virtual models of leaf surfaces are important for a number of applications in the plant sciences, such as modelling agrichemical spray droplet movement and spreading on the surface. In this context, the virtual surfaces are required to be sufficiently smooth to facilitate the use of the mathematical equations that govern the motion of the droplet. While an effective approach is to apply discrete smoothing D2-spline algorithms to reconstruct the leaf surfaces from three-dimensional scanned data, difficulties arise when dealing with wheat leaves that tend to twist and bend. To overcome this topological difficulty, we develop a parameterisation technique that rotates and translates the original data, allowing the surface to be fitted using the discrete smoothing D2-spline methods in the new parameter space. Our algorithm uses finite element methods to represent the surface as a linear combination of compactly supported shape functions. Numerical results confirm that the parameterisation, along with the use of discrete smoothing D2-spline techniques, produces realistic virtual representations of wheat leaves.
Details
- Title
- Surface reconstruction of wheat leaf morphology from three-dimensional scanned data
- Authors
- Daryl Matthew Kempthorne (Author) - Queensland University of TechnologyIan W Turner (Author) - Queensland University of TechnologyJohn A Belward (Author) - Queensland University of TechnologyScott W McCue (Author) - Queensland University of TechnologyMark D Barry (Author) - Queensland University of TechnologyJoseph Young (Author) - Queensland University of TechnologyGary J Dorr (Author) - University of QueenslandJim Hanan (Author) - University of QueenslandJerzy Zabkiewicz (Author) - Queensland University of Technology
- Publication details
- Functional Plant Biology, Vol.42(5), pp.444-451
- Publisher
- C S I R O Publishing
- Date published
- 2015
- DOI
- 10.1071/FP14058
- ISSN
- 1445-4408; 1445-4408
- Copyright note
- Copyright © 2015 The Authors. The Author Accepted Version is reproduced here in accordance with the publisher's copyright policy. The definitive version is available here: http://dx.doi.org/10.1071/FP14058
- Organisation Unit
- University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99450572202621
- Output Type
- Journal article
- Research Statement
- false
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Plant Sciences