Effect on Quality of 3D Model of Plant with Change in Number and Resolution of Images Used: An Investigation

摘要

3D reconstruction of plants is a challenging task. It is essential in nondestructive plant growth monitoring systems and important to reconstruct plant features precisely. Two parameters which critically affect quality of the 3D model are change in the number of input images and the resolution of the images. In this paper, the effect on 3D models of these parameters is analysed. This analysis enables an appropriate number of input images and resolution of the images to be determined for a precise 3D model. To validate the results, the plant stem height and number of leaves extracted from reconstructed 3D models were compared with ground truth values. We used descriptive statistics for validation and achieved high correlation between extracted and ground truth values.