基于SfM-MVS的作物三维重建:挑战与创新  

Three-dimensional crop reconstruction based on structure from motion-multiple view stereo(SfM-MVS):challenges and innovations

作　　者：王皓 曹静[2] 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)

机构地区：[1]江苏大学农业工程学院,江苏镇江212013 [2]江苏省农业科学院无锡分院,江苏无锡214174

出　　处：《江苏农业学报》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)。

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.

关 键 词：三维重建 运动恢复结构 多视角立体视觉 作物 表型 

分 类 号：S126[农业科学—农业基础科学]