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3D reconstruction using Structure-from-Motion: a new technique for morphological measurement of tree root systems
Plant and Soil ( IF 3.9 ) Pub Date : 2022-05-12 , DOI: 10.1007/s11104-022-05448-8
Yuki Okamoto 1 , Hidetoshi Ikeno 2 , Yasuhiro Hirano 3 , Toko Tanikawa 4 , Keitaro Yamase 5 , Chikage Todo 5 , Masako Dannoura 6 , Mizue Ohashi 7
Affiliation  

Purpose

Clarification of root architecture is important for understanding tree root functions. 3D laser scanning reconstructs the 3D structure of root system with high accuracy, but the devices are large and expensive. The Structure-from-Motion with multi-view stereo-photogrammetry (SfM-MVS) method reconstructs the 3D structure of an object from multiple images. This method is suitable for field research because it acquires the 3D data with a commercially available digital camera. Our aim in this study was to test the applicability of the SfM-MVS method for morphological measurement of tree root systems.

Methods

The 3D root system model was created using a dummy and three black pine (Pinus thunbergii) root systems. Image data were collected from the root systems using a camera and reconstructed using the free software, VisualSfM and MeshLab. We evaluated the accuracy of morphological data estimated from the 3D models by comparing them with real data obtained from manual measurements of the root systems.

Results

The 3D reconstructions of the dummy and black pine root systems were successful. The root mean squared error values for the morphological features in the pine root systems ranged from 4 to 24%, which was sufficiently accurate for a successful 3D model. However, the RMSE values were larger than that of dummy root, ranging from 2 to 9%.

Conclusion

The SfM-MVS method is a new tool, based on non-specialised equipment and free software, to obtain the 3D structure of tree root systems. The morphological features of it can be successfully measured from the reconstructed models.



中文翻译:

使用 Structure-from-Motion 进行 3D 重建:一种用于树根系统形态测量的新技术

目的

根架构的澄清对于理解树根功能很重要。3D激光扫描重建根系3D结构,精度高,但设备体积大且价格昂贵。具有多视图立体摄影测量 (SfM-MVS) 的运动结构 (Structure-from-Motion) 方法从多个图像重建对象的 3D 结构。该方法适用于实地研究,因为它使用商用数码相机获取 3D 数据。我们在本研究中的目的是测试 SfM-MVS 方法在树根系统形态测量中的适用性。

方法

3D 根系模型是使用虚拟和三个黑松 ( Pinus thunbergii ) 根系创建的。使用相机从根系统收集图像数据,并使用免费软件 VisualSfM 和 MeshLab 进行重建。我们通过将 3D 模型估计的形态数据与从手动测量根系获得的真实数据进行比较来评估它们的准确性。

结果

虚拟和黑松根系的 3D 重建是成功的。松树根系形态特征的均方根误差值在 4% 到 24% 之间,对于成功的 3D 模型来说足够准确。然而,RMSE 值大于虚拟根,范围为 2% 至 9%。

结论

SfM-MVS 方法是一种基于非专业设备和免费软件的新工具,用于获取树根系统的 3D 结构。它的形态特征可以从重建的模型中成功地测量出来。

更新日期:2022-05-12
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