Corn 3d Reconstruction with Photogrammetry

Corn is a common crop which is often studied in the applications of remote sensing and precision agriculture. In both cases, it is important to know the geometrical structure of the corn, for example, the diameter and height of stem, the leaf areas and leaf directions. It is convenient to measure these geometrical structural data on a 3D corn model. In order to generate such a corn 3D model, an image-based method is proposed. On the basis of photogrammetry, a 3D corn model is reconstructed from captured images. Considering the features of corn, the proposed solution extracts the boundaries and central vein at first; then these curves are matched and reconstructed to 3D leaves; finally, the 3D leaves and stem are assembled to form an integral 3D corn model. The current results show the proposed method is feasible. But more efforts should be made to improve the automation and practicality of this method. * Corresponding author. Tel.: +86-10-58801865; fax: +86-10-58805274. E-mail address: [email protected].