Skeletonization of Plant Point Cloud Data Using Stochastic Optimization Framework
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Skeletonization of Plant Point Cloud Data Using Stochastic Optimization Framework
Authors
Keywords
-
Journal
Frontiers in Plant Science
Volume 11, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2020-06-16
DOI
10.3389/fpls.2020.00773
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An Accurate Skeleton Extraction Approach From 3D Point Clouds of Maize Plants
- (2019) Sheng Wu et al. Frontiers in Plant Science
- Leveraging Image Analysis for High-Throughput Plant Phenotyping
- (2019) Sruti Das Choudhury et al. Frontiers in Plant Science
- Machine Learning Approaches to Improve Three Basic Plant Phenotyping Tasks Using Three-Dimensional Point Clouds
- (2019) Illia Ziamtsov et al. PLANT PHYSIOLOGY
- Machine Vision System for 3D Plant Phenotyping
- (2018) Ayan Chaudhury et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform
- (2017) Nicolas Brichet et al. Plant Methods
- High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth
- (2017) Xuehai Zhang et al. PLANT PHYSIOLOGY
- A Local Structure and Direction-Aware Optimization Approach for Three-Dimensional Tree Modeling
- (2016) Zhen Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Non-Rigid Point Set Registration by Preserving Global and Local Structures
- (2016) Jiayi Ma et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- 3D tree skeletonization from multiple images based on PyrLK optical flow
- (2016) Dejia Zhang et al. PATTERN RECOGNITION LETTERS
- A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths
- (2016) Dakai Jin et al. PATTERN RECOGNITION LETTERS
- 3-D Imaging Systems for Agricultural Applications—A Review
- (2016) Manuel Vázquez-Arellano et al. SENSORS
- PypeTree: A Tool for Reconstructing Tree Perennial Tissues from Point Clouds
- (2014) Sylvain Delagrange et al. SENSORS
- Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description
- (2014) Jan Hackenberg et al. Forests
- L1-medial skeleton of point cloud
- (2013) Hui Huang et al. ACM TRANSACTIONS ON GRAPHICS
- Image analysis is driving a renaissance in growth measurement
- (2013) Edgar P Spalding et al. CURRENT OPINION IN PLANT BIOLOGY
- Automated Stem Curve Measurement Using Terrestrial Laser Scanning
- (2013) Xinlian Liang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
- (2013) Pasi Raumonen et al. Remote Sensing
- Automatic reconstruction of tree skeletal structures from point clouds
- (2010) Yotam Livny et al. ACM TRANSACTIONS ON GRAPHICS
- Point Set Registration: Coherent Point Drift
- (2010) Andriy Myronenko et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust Point Set Registration Using Gaussian Mixture Models
- (2010) Bing Jian et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Curve skeleton extraction from incomplete point cloud
- (2009) Andrea Tagliasacchi et al. ACM TRANSACTIONS ON GRAPHICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started