Model-based Segmentation of 3D Point Clouds for Phenotyping Sunflower Plants-Reference-Cited by-同舟云学术

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Model-based Segmentation of 3D Point Clouds for Phenotyping Sunflower Plants

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Gelard William¹,Devy Michel²,Herbulot Ariane³,Burger Philippe⁴

Affiliation:

1. CNRS, LAAS, Univ. de Toulouse, INRA and AGIR, France

2. CNRS and LAAS, France

3. CNRS, LAAS and Univ. de Toulouse, France

4. INRA and AGIR, France

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust colored point cloud alignment based on L*a*b* guided and Cauchy kernel;Computational Intelligence;2024-06

2. Robotic Plant Phenotype: Localization, Reconstruction, Post-Processing with Robust Stem Extraction Algorithm;2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE);2023-09-06

3. How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques;Plant Methods;2023-06-23

4. DFSP: A fast and automatic distance field-based stem-leaf segmentation pipeline for point cloud of maize shoot;Frontiers in Plant Science;2023-01-31

5. Conventional and Molecular Breeding for Sunflower Nutrition Quality Improvement;Advanced Crop Improvement, Volume 2;2023

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