华侨大学学报（自然科学版）2025，Vol.46Issue(6)：640-645,6.DOI:10.11830/ISSN.1000-5013.202510020
结构光3D相机倾斜拍摄下的料仓物料检测方法
Material Detection Method for Silos Using Structured Light 3D Cameras Under Tilted Imagine
摘要
Abstract
To address the challenge in industrial settings where cameras cannot be installed directly facing si-los due to constraints of material replenishment devices,a material volume detection method for silos based on tilted imaging using structured light 3D cameras is proposed.Firstly,a 3D reconstruction mathematical model under tilted coordinates is established to obtain surface point clouds by the triangulation principle and phase un-wrapping technology.Secondly,a spatial coordinate prediction method is designed to effectively repair the hol-low region of the point clouds.Finally,a differential volume algorithm is constructed to accurately calculate the material volume through the difference between the point clouds of the empty silo and the silo with materi-als.The experimental results show that at tilted angles from 30° to 60°,the relative error of volume detection of the proposed method is controlled within 2.5％,and it is not affected by the shape and size of the silo.关键词
结构光三维测量/倾斜拍摄/料仓物料/空洞修复/差分体积计算Key words
structured light 3D measurement/tilted imaging/silo material/hollow repair/differential volume calculation分类
机械工程引用本文复制引用
赖雄鸣,李鹏程,谭援强,黄泽浩,陈煜新..结构光3D相机倾斜拍摄下的料仓物料检测方法[J].华侨大学学报（自然科学版）,2025,46(6):640-645,6.基金项目
2023年福建省泉州市市级"揭榜挂帅"科技重大专项项目(2023GZ5) （2023GZ5）
