Share Email Print
cover

Proceedings Paper

Accurate and automatic extrinsic calibration method for blade measurement system integrated by different optical sensors
Author(s): Wantao He; Zhongwei Li; Kai Zhong; Yusheng Shi; Can Zhao; Xu Cheng
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Fast and precise 3D inspection system is in great demand in modern manufacturing processes. At present, the available sensors have their own pros and cons, and hardly exist an omnipotent sensor to handle the complex inspection task in an accurate and effective way. The prevailing solution is integrating multiple sensors and taking advantages of their strengths. For obtaining a holistic 3D profile, the data from different sensors should be registrated into a coherent coordinate system. However, some complex shape objects own thin wall feather such as blades, the ICP registration method would become unstable. Therefore, it is very important to calibrate the extrinsic parameters of each sensor in the integrated measurement system. This paper proposed an accurate and automatic extrinsic parameter calibration method for blade measurement system integrated by different optical sensors. In this system, fringe projection sensor (FPS) and conoscopic holography sensor (CHS) is integrated into a multi-axis motion platform, and the sensors can be optimally move to any desired position at the object’s surface. In order to simple the calibration process, a special calibration artifact is designed according to the characteristics of the two sensors. An automatic registration procedure based on correlation and segmentation is used to realize the artifact datasets obtaining by FPS and CHS rough alignment without any manual operation and data pro-processing, and then the Generalized Gauss-Markoff model is used to estimate the optimization transformation parameters. The experiments show the measurement result of a blade, where several sampled patches are merged into one point cloud, and it verifies the performance of the proposed method.

Paper Details

Date Published: 13 November 2014
PDF: 9 pages
Proc. SPIE 9276, Optical Metrology and Inspection for Industrial Applications III, 92761D (13 November 2014); doi: 10.1117/12.2070020
Show Author Affiliations
Wantao He, Huazhong Univ. of Science and Technology (China)
Heilongjiang Univ. of Science and Technology (China)
Zhongwei Li, Huazhong Univ. of Science and Technology (China)
Kai Zhong, Huazhong Univ. of Science and Technology (China)
Yusheng Shi, Huazhong Univ. of Science and Technology (China)
Can Zhao, Heilongjiang Univ. of Science and Technology (China)
Xu Cheng, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9276:
Optical Metrology and Inspection for Industrial Applications III
Sen Han; Toru Yoshizawa; Song Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top