DocumentCode :
3377894
Title :
Non-Contact 3D Coordinates Measurement of Cross-Cutting Feature Points on the Surface of Large-Scale Workpiece Based on Machine Vision Method
Author :
Zhu, Shiping ; Gao, Yang
Author_Institution :
Sch. of Instrum. Sci. & Optoelectron. Eng., BeiHang Univ., Beijing
Volume :
2
fYear :
2005
fDate :
16-19 May 2005
Firstpage :
1255
Lastpage :
1259
Abstract :
3D coordinates measurement of feature points on the surface of large-scale workpiece is important and difficult, various relative measuring methods have been presented in recent years, and machine vision method has been paid more attentions by researchers. The application of machine vision method in the 3D coordinate measurement of feature points on the surface of large-scale workpiece is discussed in this paper, and an accurate, simple, new measuring method is proposed. The design of the measuring system mainly consider the following aspects: the principle and composition of the measuring system; the study on the monocular vision for the camera locating; the calibration method of CCD camera; image processing of cross-cutting feature point and the calculation of its 2D image coordinates; the study of binocular stereo vision based on the large-scale CMM. The experimental results indicate the correctness and reliability of the new measuring method and show that it can be used in the noncontact 3D coordinates measurement of cross-cutting feature points on the surface of large-scale workpiece
Keywords :
CCD image sensors; calibration; computer vision; computerised instrumentation; coordinate measuring machines; 2D image coordinates; 3D coordinate measurement; CCD camera; binocular stereo vision; camera location; cross-cutting feature points; image processing; large-scale CMM; large-scale workpiece surface; machine vision method; monocular vision; noncontact coordinate measurement; Charge coupled devices; Charge-coupled image sensors; Coordinate measuring machines; Image processing; Large-scale systems; Machine vision; Metrology; Space technology; Theodolites; Transducers; 3D coordinates measurement; CMM; feature point; machine vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
Type :
conf
DOI :
10.1109/IMTC.2005.1604348
Filename :
1604348
Link To Document :
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