摘要
三维重建技术可提供更全面、准确的作物表型信息,已成为智慧农业和智慧育种领域的研究热点。基于多目视觉法的三维重建技术因其低成本、高精度的特性而被广泛应用于作物三维重建,其中运动恢复结构-多视角立体视觉(SfM-MVS)流程是其主流实现方法。本文对不断发展的SfM-MVS流程进行了技术体系梳理,并从当前作物三维重建的角度出发,总结了SfM-MVS所面临的挑战和已有创新之处。本研究可为基于SfM-MVS的作物三维重建技术集成提供有力支撑,并为关键技术突破提供重要参考。
Three-dimensional(3D)reconstruction technology can provide more comprehensive and accurate crop phenotypic information,which is a research hotspot in the field of intelligent farming and intelligent breeding.The 3D reconstruction technology based on multi-view vision is widely adopted for its low cost and high accuracy.The structure from motion-multiple view stereo(SfM-MVS)pipeline is the primary method used for this technology.In this paper,the technical system of the evolving SfM-MVS process was sorted out,and the challenges and innovations of SfM-MVS were summarized from the perspective of current crop three-dimensional reconstruction.This study can provide robust support for the integration of crop 3D reconstruction technology based on SfM-MVS,and provide an important reference for key technology breakthroughs.
作者
王皓
曹静
胡佳楠
潘嫄嫄
毕然
孙挺
张文宇
WANG Hao;CAO Jing;HU Jianan;PAN Yuanyuan;BI Ran;SUN Ting;ZHANG Wenyu(College of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,China;Jiangsu Academy of Agricultural Sciences Wuxi Branch,Wuxi 214174,China)
出处
《江苏农业学报》
CSCD
北大核心
2024年第9期1768-1776,共9页
Jiangsu Journal of Agricultural Sciences
基金
国家重点研发计划子课题(2022YFD2001001、2022YFD2001005)
国家自然科学基金项目(32201664、31871522)
江苏省重点研发计划项目(BE2023323)
江苏省农业自主创新基金项目[CX(21)2042]
无锡市财政项目(33212303)。
关键词
三维重建
运动恢复结构
多视角立体视觉
作物
表型
three-dimensional reconstruction
structure from motion
multiple view stereo
crop
phenotype
