A primitive-based 3D reconstruction method for remanufacturing

被引：0
作者：
Yufan Zheng
Jikai Liu
Zilu Liu
Tianxiong Wang
Rafiq Ahmad
机构：
[1] University of Alberta,Laboratory of Intelligent Manufacturing, Design and Automation (LIMDA), Department of Mechanical Engineering
[2] University of Pittsburgh,Department of Mechanical Engineering and Materials Science
[3] Aerospace Research Institute of Materials,School of Information and Electronics
[4] & Processing Technology,undefined
[5] Beijing Institute of Technology,undefined
来源：
The International Journal of Advanced Manufacturing Technology | 2019年 / 103卷
关键词：
Remanufacturing; Surface fitting; Reconstruction; RANSAC; SDM;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Localization and quantification of the defective volume of a broken part are critical for repairing but technically non-trivial, especially when the original CAD model is not available. To address this issue, a new geometric reconstruction method is proposed in this research, which features a novel primitive-based surface fitting and modelling technique. This technique combines the StepRANSAC (step random sample consensus) surface fitting and SDM (squared distance minimization) refitting, and this combination shows advantages in precision and robustness compared with the traditional RANSAC method, because main direction confirmation, segmentation, outlier filter, and refitting are applied in point clouds. Then, the defective volume can be localized and extracted by registering the reconstructed model and the damaged model. A few cases are studied to validate the effectiveness of the proposed method.
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收藏
页码：3667 / 3681
页数：14
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