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基于单目视觉下的裂缝三向变化检测

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单目视觉测量技术下存在二维图片深度信息缺失,导致无法快速直接测量出二维图像中三维坐标的问题.为在单目视觉下快速利用二维图像直接获取其三维坐标,提出了单目视觉的裂缝三维变化检测方法.根据裂缝变化等效模型设计了特制靶标,利用特征点进行Epnp(efficient perspective-n-point)求解,得到了多次拍摄图片时相机的相对位姿,利用最小二乘法还原其深度信息,通过迭代最近点算法进行坐标系转换,得出了实际的三维位移变化,绝对误差精度在0.5 mm以内,满足工程中对裂缝的检测要求.
Three-dimensional Crack-Change Detection Based on Monocular Vision
The depth information of two-dimensional(2D)images cannot be captured via monocular-vision measurement technology,consequently,the three-dimensional(3D)coordinates in the 2D image cannot be measured rapidly and directly.Hence,this paper proposes a 3D crack-change detection method based on monocular vision.Using an equivalent crack-change model,a special target was designed,feature points were used to solve the Epnp(efficient perspective-n-point),the relative pose of the camera during repeated photograph capturing was obtained,the depth information was restored using the least-squares method,and the actual 3D displacement change was obtained using the iterative closest point algorithm for coordinate-system conversion.The absolute-error accuracy was within 0.5 mm,which satisfies the requirements of cracks specified in engineering.

monocular visioniterative closest point algorithmthree-dimensional reconstructioncrack measurement

刘磊、丁勇、李登华

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南京理工大学物理学院,江苏 南京 210094

南京水利科学研究院,江苏 南京 210024

水利部水库大坝安全重点实验室,江苏 南京 210024

单目视觉 迭代最近点算法 三维重建 裂缝测量

国家重点研发计划国家自然科学基金国家自然科学基金联合基金项目中央级公益性科研院所基本科研业务费专项资金

2022YFC300550251979174U2040221Y322008

2024

激光与光电子学进展
中国科学院上海光学精密机械研究所

激光与光电子学进展

CSTPCD北大核心
影响因子:1.153
ISSN:1006-4125
年,卷(期):2024.61(18)
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