3D reconstruction and accuracy analysis of angle steel based on the IPCRM method
Author:
Affiliation:
Fund Project:
摘要
|
图/表
|
访问统计
|
参考文献
|
相似文献
|
引证文献
|
资源附件
摘要:
为分析集成三维点云逆向建模方法（integrated 3D point cloud reverse modeling，IPCRM）在建立薄厚型钢构件三维模型时的精度表现，以局部变形角钢为研究对象，利用SfM （structure from motion）-MVS （multi-view stereo）算法建立其三维点云模型，借助逆向建模技术生成曲面模型，重点开展了模型精度验证试验. 结果表明：各表面形状特征参数的相对误差均在8%以内（吻合度验证）；4种角钢模型与实际角钢间无显著性差异（P值，P=0.99），且角钢厚度对模型精度无显著性影响（P值，P=0.95），结论在95%的置信度水平下成立（差异显著性验证）. 研究结果为后续算法优化及利用此类方法进行合理的钢构件局部变形损伤检测与承载性能评价提供依据.
Abstract:
To analyze the precision of the integrated 3D point cloud reverse modeling （IPCRM） method in generating three-dimensional models of thin-thickness steel members， locally deformed angle steels are taken as the research objects. Three-dimensional point cloud models of locally deformed angle steels are established using the SfM （structure from motion）-MVS （multi-view stereo） algorithm， and the surface models of locally deformed angle steels are generated with the help of reverse engineering technology. Special attention is placed on model precision verification experiments. The results show that： the relative errors of all surface shape characteristic parameters are within 8% confirming the conformity of the models； there is no significant difference between the four angle steel models and the actual angle steels （P value， P=0.99）， and angle steel thickness has no significant influence on model precision （P value， P=0.95）. These conclusions hold at a 95% confidence level （significance verification）. The research results provide a basis for subsequent algorithm optimization and the rational use of this method for local deformation damage detection and bearing performance evaluation of steel members.
