论文标题
基于3D重建的高粱圆锥花序的种子计数用于农业检查
3D Reconstruction-Based Seed Counting of Sorghum Panicles for Agricultural Inspection
论文作者
论文摘要
在本文中，我们提出了一种在育种实验中创建高质量的高粱圆锥花序3D模型的方法。这是通过一种新颖的重建方法来实现的，该方法将种子用作2D和3D的语义地标。为了评估性能，我们开发了一个新的度量标准，用于评估重建点云的质量，而没有地面真相云。最后，提出了一种计数方法，其中3D模型中种子中心的密度允许从多个视图中的2D计数有效合并为全键盘计数。我们证明，使用这种方法估计高粱的种子数量和重量优于从2D图像中推断出的外推，这是大多数最先进方法中使用的方法，用于种子和可比尺寸的晶粒。
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 having a ground-truth point cloud. Finally, a counting method is presented where the density of seed centers in the 3D model allows 2D counts from multiple views to be effectively combined into a whole-panicle count. We demonstrate that using this method to estimate seed count and weight for sorghum outperforms count extrapolation from 2D images, an approach used in most state of the art methods for seeds and grains of comparable size.
