Projects per year
Abstract
The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point clouds of wheat. This study is the first to segment the point clouds of wheat into defined organs and to analyse their traits directly in 3D space. Point clouds have no regular grid and thus their segmentation is challenging. Pattern-Net creates a dynamic link among neighbors to seek stable patterns from a 3D point set across several levels of abstraction using the K-nearest neighbor algorithm. To this end, different layers are connected to each other to create complex patterns from the simple ones, strengthen dynamic link propagation, alleviate the vanishing-gradient problem, encourage link reuse and substantially reduce the number of parameters. The proposed deep network is capable of analysing and decomposing unstructured complex point clouds into semantically meaningful parts. Experiments on a wheat dataset verify the effectiveness of our approach for segmentation of wheat in 3D space.
Original language | English |
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Article number | 608732 |
Number of pages | 15 |
Journal | Frontiers in Plant Science |
Volume | 12 |
DOIs | |
Publication status | Published - 24 Mar 2021 |
Keywords
- 3D analysis
- convolutional neural network
- deep learning
- pattern
- point cloud
- segmentation
- wheat
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Dive into the research topics of 'Deep Segmentation of Point Clouds of Wheat'. Together they form a unique fingerprint.Projects
- 3 Finished
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Wheat floral organ size and its effects on grain size
Doonan, J. (PI)
Biotechnology and Biological Sciences Research Council
10 Jun 2019 → 31 May 2022
Project: Externally funded research
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A China-UK joint phenomics consortium to dissect the basis of crop stress resistance in the face of climate change
Doonan, J. (PI), Han, J. (CoI), Liu, Y. (CoI) & Mur, L. (CoI)
Biotechnology and Biological Sciences Research Council
01 Jul 2018 → 31 Dec 2023
Project: Externally funded research
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Phenomics National Capability Grant ISPG
Doonan, J. (PI)
Biotechnology and Biological Sciences Research Council
01 Apr 2012 → 31 Mar 2017
Project: Externally funded research