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Roussel J, Geiger F, Fischbach A, et al. 3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies. Front Plant Sci. 2016;7:745doi: 10.3389/fpls.2016.00745.
Roussel, J., Geiger, F., Fischbach, A., Jahnke, S., & Scharr, H. (2016). 3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies. Frontiers in plant science, 7745. https://doi.org/10.3389/fpls.2016.00745
Roussel, Johanna, et al. "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies." Frontiers in plant science vol. 7 (2016): 745. doi: https://doi.org/10.3389/fpls.2016.00745
Roussel J, Geiger F, Fischbach A, Jahnke S, Scharr H. 3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies. Front Plant Sci. 2016 Jun 07;7:745. doi: 10.3389/fpls.2016.00745. eCollection 2016. PMID: 27375628; PMCID: PMC4895124.
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Front Plant Sci. 2016 Jun 07;7:745. doi: 10.3389/fpls.2016.00745. eCollection 2016.

3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies.

Frontiers in plant science

Johanna Roussel, Felix Geiger, Andreas Fischbach, Siegfried Jahnke, Hanno Scharr

Affiliations

  1. Institute of Bio- and Geo-sciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH Jülich, Germany.

PMID: 27375628 PMCID: PMC4895124 DOI: 10.3389/fpls.2016.00745

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, theoretically achievable accuracy, experimentally achieved accuracy, and show as a proof of principle that the proposed method is well sufficient for 3D seed phenotyping purposes.

Keywords: Arabidopsis; automated seed handling; image processing; performance analysis; silhouette

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