Three-Dimensional Leaf Edge Reconstruction Combining Two-and Three-Dimensional Approaches  

作　　者：Hidekazu Murata Koji Noshita 

机构地区：[1]Department of Biology,Kyushu University,Fukuoka,Fukuoka 819-0395,Japan [2]Plant Frontier Research Center,Kyushu University,Fukuoka,Fukuoka 819-0395,Japan

出　　处：《Plant Phenomics》2024年第3期532-546,共15页植物表型组学（英文）

基　　金：supported by Japan Society for the Promotion of Science(JSPS)KAKENHI Grant Numbers 20H0-1381,21K14947,and 22H04727(to K.N.);Japan Science and Technology Agency(JST)PRESTO Grant Number JPMJPR16O5(to K.N.);JST MIRAI Grant Number JPMJMI20G6(to K.N.);Moonshot R&D Grant Number JPMJMS2021(to K.N.);Bio-oriented technology Research Advancement InstitusioN(BRAIN)Moonshot R&D Grant Number JPJ009237(to K.N.).

摘　　要：Leaves,crucial for plant physiology,exhibit various morphological traits that meet diverse functional needs.Traditional leaf morphology quantification,largely 2-dimensional(2D),has not fully captured the 3-dimensional(3D)aspects of leaf function.Despite improvements in 3D data acquisition,accurately depicting leaf morphologies,particularly at the edges,is difficult.This study proposes a method for 3D leaf edge reconstruction,combining 2D image segmentation with curve-based 3D reconstruction.Utilizing deep-learning-based instance segmentation for 2D edge detection,structure from motion for estimation of camera positions and orientations,leaf correspondence identification for matching leaves among images,and curve-based 3D reconstruction for estimating 3D curve fragments,the method assembles 3D curve fragments into a leaf edge model through B-spline curve fitting.The method's performances were evaluated on both virtual and actual leaves,and the results indicated that small leaves and high camera noise pose greater challenges to reconstruction.We developed guidelines for setting a reliability threshold for curve fragments,considering factors occlusion,leaf size,the number of images,and camera error;the number of images had a lesser impact on this threshold compared to others.The method was effective for lobed leaves and leaves with fewer than 4 holes.However,challenges still existed when dealing with morphologies exhibiting highly local variations,such as serrations.This nondestructive approach to 3D leaf edge reconstruction marks an advancement in the quantitative analysis of plant morphology.It is a promising way to capture whole-plant architecture by combining 2D and 3D phenotyping approaches adapted to the target anatomical structures.

关 键 词：EDGE LEAF APPROACHES COMBINING DIMENSIONAL RECONSTRUCTION three 

分 类 号：Q94[生物学—植物学]