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通过立体成像和多视点云对齐,精确的植物3D重建和表型特征提取

Zhencan Wang¹, Huichun Zhang^1,2, Liming Bian³

¹College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China.

Frontiers in plant science

|October 16, 2025

概括

本研究介绍了使用SfM和MVS的双相3D植物重建工作流程,用于准确的植物表型,克服扭曲和自我封闭的挑战.

科学领域:

* 植物科学植物科学
* 计算机视觉计算机视觉
* * 农业技术农业技术

背景情况:

*准确的3D重建对于植物表型定型至关重要.
* 双眼相机在单拍模式下直接生成点云往往会导致扭曲.
* 植物结构中的自我封闭阻碍了完全的3D数据采集.

研究的目的:

* 开发和验证一个集成的,两相的工作流程,以准确的3D工厂重建.
* 解决植物3D建模中扭曲和自我封闭的挑战.
*为定量3D植物表型提供可靠的工具.

主要方法:

* 实施了两阶段的工作流程,绕过了摄像机集成的深度估计.
*第一阶段:在高分辨率图像上利用运动结构 (SfM) 和多视图立体声 (MVS) 来实现无扭曲点云.
*第2阶段:采用基于标记器的自我注册 (SR) 和代的最近点 (ICP) 来从多个角度对齐点云,以克服自我封闭.

主要成果:

* 在Ilex verticillata和Ilex salicina上成功验证了工作流.
* 3D重建的高精度和可靠性得到证明.
*提取的表型参数与手工测量有很强的相关性 (R2>0.92为高度/宽,0.72-0.89为叶子参数).

结论:

* 拟议的两相工作流提供了一个准确可靠的解决方案,用于3D工厂重建.
*该方法有效地克服了诸如扭曲和自我封闭等常见挑战.
* 这个经过验证的工作流作为定量3D植物表型化的一个可访问的工具.

关键词:

3D重建的重建是3D重建.这就是SfM-MVS.植物表型化植物表型化点云对齐点云对齐情况立体成像成像立体成像成像

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