关键词: 水稻表型, 三维重建, 可视外壳

Abstract: In recent years, great progress has been achieved in the domain of image-based high-throughput rice phenotype. However, only a few researches considered 3D plant models. Generally, more comprehensive information can be extracted from 3D models than images. The reconstruction of 3D models is the foundation of 3D crop phenotyping. This paper proposed a method to reconstruct 3D point clouds for pot rice plants. In this method, a series of rice images were taken by a camera in fixed place, then the point cloud representations of reconstructed visual hulls of rice plants were acquired by shape from silhouette according to camera parameters and binary rice silhouette images. Finally, the reconstructed models were colored by back projection method. The experiment results showed that this method was well suitable for rice plants of different types and stages.

Key words: rice phenotype, 3D reconstruction, visual hull