3D Surface Reconstruction of Plant Seeds by Volume Carving

Johanna Roussel, Andreas Fischbach, Siegfried Jahnke and Hanno Scharr

Abstract

We describe a method for 3D reconstruction of plant seed surfaces, focusing on small seeds with diameters as small as 200 µm. The method considers robotized systems allowing single seed handling in order to rotate a single seed in front of a camera. Even though such systems feature high position repeatability, at sub-millimeter object scales, camera pose variations have to be compensated. We do this by robustly estimating the tool center point from each acquired image. 3D reconstruction can then be performed by a simple shape-from-silhouette approach. In experiments we investigate runtimes, the achieved accuracy, and show as a proof of principle that the proposed method is well sufficient for 3D seed phenotyping purposes.

Session

Workshop: Computer Vision Problems in Plant Phenotyping (CVPPP 2015)

Files

PDF iconPaper (PDF, 7M)

DOI

10.5244/C.29.CVPPP.7
https://dx.doi.org/10.5244/C.29.CVPPP.7

Citation

Johanna Roussel, Andreas Fischbach, Siegfried Jahnke and Hanno Scharr. 3D Surface Reconstruction of Plant Seeds by Volume Carving. In S. A. Tsaftaris, H. Scharr, and T. Pridmore, editors, Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP), pages 7.1-7.13. BMVA Press, September 2015.

Bibtex

@inproceedings{CVPP2015_7,
	title={3D Surface Reconstruction of Plant Seeds by Volume Carving},
	author={Johanna Roussel and Andreas Fischbach and Siegfried Jahnke and Hanno Scharr},
	year={2015},
	month={September},
	pages={7.1-7.13},
	articleno={7},
	numpages={13},
	booktitle={Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP)},
	publisher={BMVA Press},
	editor={S. A. Tsaftaris, H. Scharr, and T. Pridmore},
	doi={10.5244/C.29.CVPPP.7},
	isbn={1-901725-55-3},
	url={https://dx.doi.org/10.5244/C.29.CVPPP.7}
}