基于运动恢复结构方法的植株三维重建

Three-dimensional Reconstruction of Plants Based on Structure from Motion Method

为了探究基于运动恢复结构(Structure From Motion,SFM)方法的植株三维重建模型的效果,为植物三维重建工作提供研究案例,本文以紫叶鸭跖草(setcreasea pallida)为研究对象,在搭建序列图像获取平台的基础上,选取35幅、75幅、105幅序列图像进行三维重建的对比分析;同时从植株表型参数方面,对植株三维重建模型进行精度评价。结果表明:75幅图像序列的重建效果最好;不同图像序列的模型计算的植株高度相对误差(Relative Error,RE)均小于2.5%,决定系数(coefficient of determination,R2)均大于0.998;不同图像序列的模型提取叶片长和叶片宽的RE均小于2.89%,R2均大于0.958。因此,序列图像的数量与重建模型的效果有关,但二者并非呈正相关关系;序列图像的数量对重建叶片的长与宽的误差影响较小;SFM方法应用于结构比较复杂的植株的三维重建可以取得较好的重建效果。

In order to explore the effect of three-dimensional reconstruction model of plants based on Structure From Motion(SFM)method and provide a research case for plant 3D reconstruction work,this paper uses setcreasea pallida as research object,selects 35,75,and 105 sequence images for comparative analysis of 3D reconstruction based on the sequence image acquisition platform.At the same time,the accuracy of the plant three-dimensional reconstruction model is evaluated from the aspect of plant phenotypic parameters.The results show that the reconstruction of 75 image sequences is the best;the height Relative Error(RE)of the images calculated by different image sequences is less than 2.5%,and coefficient of determination(R2)is greater than 0.998;the RE of the different image sequences extracted from leaf length and leaf width are less than 2.89%,R2 are greater than 0.958.Therefore,the number of sequential images is related to the effect of the reconstruction model,but the two are not positively correlated;the number of sequence images has little effect on the error of reconstruction of blade length and width.SFM method can be applied to the three-dimensional reconstruction of plants with complex structure,which can achieve better reconstruction results.