Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method
Author:
Affiliation:
1. Forschungszentrum Jülich, IBG-2,Jülich,Germany
2. Forschungszentrum Jülich, IAS-8,Jülich,Germany
3. RWTH Aachen University, VCI,Aachen,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350699.pdf?arnumber=10350699
Reference50 articles.
1. Affordable and robust phenotyping framework to analyse root system architecture of soil‐grown plants
2. Transferring pointnet++ segmentation from virtual to real plants;Chaudhury
3. Deep learning based 3d reconstruction for phenotyping of wheat seeds: dataset, 2023;Cherepashkin
4. Proceedings 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
5. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
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