3D Reconstruction-Based Seed Counting of Sorghum Panicles for Agricultural Inspection
Harry Freeman,Eric Schneider,Chung Hee Kim,Moonyoung Lee,George Kantor,Harry Freeman,Eric Schneider,Chung Hee Kim,Moonyoung Lee,George Kantor
In this paper, we present a method for creating high-quality 3D models of sorghum panicles for phenotyping in breeding experiments. This is achieved with a novel reconstruction approach that uses seeds as semantic landmarks in both 2D and 3D. To evaluate the performance, we develop a new metric for assessing the quality of reconstructed point clouds without ground-truth. Finally, a counting method...
