低成本摄影测量系统实现小麦三维建模与表型分析
A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping
- 基于运动恢复结构算法生成植物点云模型
- 可自动计算株高、叶角、凸包等表型特征
- 适合农业科研人员开展作物冠层构型研究
我们提出一种开源的低成本摄影测量系统，用于植物三维建模与表型分析。该系统采用运动恢复结构（SfM）方法，通过点云重建植物三维形态。以小麦为例，展示了如何从点云中便捷计算多种表型性状，包括株高、半径等常规指标，以及人工测量困难的叶角度和凸包等特征。进一步通过特定指标分析，实现了对直立型与平展型小麦冠层结构的客观分类。
原文摘要 · Abstract (English)
We present an open-source, low-cost photogrammetry system for 3D plant modeling and phenotyping. The system uses a structure-from-motion approach to reconstruct 3D representations of the plants via point clouds. Using wheat as an example, we demonstrate how various phenotypic traits can be computed easily from the point clouds. These include standard measurements such as plant height and radius, as well as features that would be more cumbersome to measure by hand, such as leaf angles and convex hull. We further demonstrate the utility of the system through the investigation of specific metrics that may yield objective classifications of erectophile versus planophile wheat canopy architectures.
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