Abstract: 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.

Key words: plant, three-dimensional reconstruction, structure from motion, reconstruction accuracy