Phenotyping of plant growth improves the understanding of complex genetic traits and eventually expedites the development of modern breeding and intelligent agriculture.In phenotyping,segmentation of 3D point clouds o...Phenotyping of plant growth improves the understanding of complex genetic traits and eventually expedites the development of modern breeding and intelligent agriculture.In phenotyping,segmentation of 3D point clouds of plant organs such as leaves and stems contributes to automatic growth monitoring and reflects the extent of stress received by the plant.In this work,we first proposed the Voxelized Farthest Point Sampling(VFPS),a novel point cloud downsampling strategy,to prepare our plant dataset for training of deep neural networks.展开更多
基金This work was supported in part by the Shanghai Rising-Star Program(No.21QA1400100)Shanghai Natural Science Foundation(No.20ZR1400800),Shanghai Sailing Program(No.21YF1401400)in part by Fundamental Research Funds for the Central Universities of China(No.2232020D-49).
文摘Phenotyping of plant growth improves the understanding of complex genetic traits and eventually expedites the development of modern breeding and intelligent agriculture.In phenotyping,segmentation of 3D point clouds of plant organs such as leaves and stems contributes to automatic growth monitoring and reflects the extent of stress received by the plant.In this work,we first proposed the Voxelized Farthest Point Sampling(VFPS),a novel point cloud downsampling strategy,to prepare our plant dataset for training of deep neural networks.
