3D reconstruction system and precision evaluation of Hyphantria cunea （Drury） based on monocular and multi-view images

In order to construct the 3D model of H.cunea with high-definition texture features, and to evaluate the accuracy of the 3D model of H.cunea objectively and quantitatively, the research and experiment of 3D reconstruction of H.cunea was carried out in this paper. Firstly, the multi-view images acquisition system for insect was constructed. The multi-view images acquisition system was used to acquire high-quality sequence images of H.cunea, and the sample library of high-quality sequence image of H.cunea was established. Secondly, Structure from Motion（SFM） and Multiple View Stereo（MVS） algorithm were combined for the accurate 3D model reconstruction of H.cunea. Finally, the accuracy evaluation experiment of the reconstructed 3D model of H.cunea was carried out by morphological parameters. The experimental results showed that the relative error between the evaluated value and the reference value was less than 5%, and the R~2 was greater than 0.95. The precise 3D model of H.cunea reconstructed in this paper can provide basic and intuitive data for deep learning sample augmentation, identification and control of plant diseases and pests.