3D reconstruction technique of pipe based on centerline matching

被引：0
|
作者：
Zhang, Tian [1 ,2 ]
Liu, Jian-Hua [1 ,2 ]
Tang, Cheng-Tong [1 ,2 ]
Liu, Shao-Li [1 ,2 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
[2] Laboratory of Digital Manufacturing, Beijing Institute of Technology, Beijing
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2015年 / 41卷 / 04期
基金：
中国国家自然科学基金;
关键词：
3D reconstruction; Centerline matching; Non-uniform rational B-spline (NURBS); Pipe; Stereo vision;
D O I：
10.16383/j.aas.2015.c130287
中图分类号：
学科分类号：
摘要：
For the problem of low efficiency of 3D reconstruction of pipe in the industrial field, a 3D reconstruction method of pipe based on centerline matching is presented. First, the centerlines and edges of the pipe are extracted from pipe's gray-level images. According to the principle of stereo vision, non-uniform rational B-spline (NURBS) curve is chosen as a description tool and matching primitive. The spatial centerlines of the pipe are reconstructed based on the perspective projection invariance of NURBS curve, and the external diameter of the pipe is calculated through the extracted edges. Finally, the pipe's CAD model is reconstructed by 3D modeling technique. Compared with the existing methods, the proposed method has the advantages of high efficiency and simple operation. It is shown through experimental results that the time of 3D reconstruction is within 1 minute, the re-projection error is 0.284 pixel, the measurement error of end points is 0.242 mm, and the measurement error of external diameter is 0.158 mm. Copyright © 2015 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：735 / 748
页数：13
相关论文
共 16 条
  • [1] Xin Q., Ding M.-Y., Tu J.-L., Research on active 3D shape retrieval based on one-shot image, Acta Automatica Sinica, 27, 1, pp. 47-55, (2001)
  • [2] Zhu J.-H., Zheng N.-N., Yuan Z.-J., He Y.-J., A slam approach by combining ICP algorithm and particle filter, Acta Automatica Sinica, 35, 8, pp. 1107-1113, (2009)
  • [3] Qiu G.-F., Yu J.-C., Huang Q.-T., Ni Y., Wang Y., Mathematical model of contacting freeform surface contour measurement, Optics and Precision Engineering, 21, 11, pp. 2813-2820, (2013)
  • [4] Shi L.-M., Guo F.-S., Hu Z.-Y., An improved PMVS through scene geometric information, Acta Automatica Sinica, 37, 5, pp. 560-568, (2011)
  • [5] Wu L., Wang Y.-T., Liu Y., A robust approach based on photometric stereo for surface reconstruction, Acta Automatica Sinica, 39, 8, pp. 1339-1348, (2013)
  • [6] Zhang K., Gao Z., The technology of fast 3D reconstruction based on stereo vision, Key Engineering Materials, 579, pp. 654-658, (2014)
  • [7] Zhao Y.-Q., Zhang L.-Y., Pipe parameter estimation in photogrammetry, Machine Building and Automation, 37, 6, pp. 114-117, (2008)
  • [8] Bosemann W., The optical tube measurement system OLM-photogrammetric methods used for industrial automation and process control, International Archives of Photogrammetry and Remote Sensing, 31, B5, pp. 55-58, (1996)
  • [9] Veldhuis H., Vosselman G., The 3D reconstruction of straight and curved pipes using digital line photogrammetry, Journal of Photogrammetry and Remote Sensing, 53, pp. 6-16, (1998)
  • [10] Zhang H., Zhang X.-L., Zhang C., Huang S.-H., A new approach for the bent tube non-contact measurement, Chinese Journal of Scientific Instrument, 20, 4, pp. 438-440, (1999)
12