Robust Surface Reconstruction of Plant Leaves from 3D Point Clouds

作     者：Ryuhei Ando Yuko Ozasa Wei Guo 

作者机构：Graduate School of Science and TechnologyKeio UniversityJapan School of System Design and TechnologyTokyo Denki UniversityJapan International Field Phenomics Research LaboratoryInstitute for Sustainable Agro-ecosystem ServicesGraduate School of Agricultural and Life SciencesThe University of TokyoTokyoJapan 

出 版 物：《Plant Phenomics》 (植物表型组学（英文）)

年 卷 期：2021年第3卷第1期

页      面：28-42页

核心收录：

学科分类：0501[文学-中国语言文学] 0303[法学-社会学] 0710[理学-生物学] 0502[文学-外国语言文学] 0601[历史学-考古学] 071001[理学-植物学] 1302[艺术学-音乐与舞蹈学] 1301[艺术学-艺术学理论] 07[理学] 0901[农学-作物学] 

基　　金：JST CREST Grant Numbers JPMJCR1512 and JPMJCR14E3 including the AIP challenge program Japan 

主　　题：shape separation sugar 

摘      要：The automation of plant phenotyping using 3D imaging techniques is ***,conventional methods for reconstructing the leaf surface from 3D point clouds have a trade-off between the accuracy of leaf surface reconstruction and the method’s robustness against noise and missing *** mitigate this trade-off,we developed a leaf surface reconstruction method that reduces the effects of noise and missing points while maintaining surface reconstruction accuracy by capturing two components of the leaf(the shape and distortion of that shape)separately using leaf-specific *** separation simplifies leaf surface reconstruction compared with conventional methods while increasing the robustness against noise and missing *** evaluate the proposed method,we reconstructed the leaf surfaces from 3D point clouds of leaves acquired from two crop species(soybean and sugar beet)and compared the results with those of conventional *** result showed that the proposed method robustly reconstructed the leaf surfaces,despite the noise and missing points for two different leaf *** evaluate the stability of the leaf surface reconstructions,we also calculated the leaf surface areas for 14 consecutive days of the target *** result derived from the proposed method showed less variation of values and fewer outliers compared with the conventional methods.