Paper
2 February 2009 3-D measuring of engine camshaft based on machine vision
Jianxin Qiu, Liang Tan, Xiaodong Xu
Author Affiliations +
Abstract
The non-touch 3D measuring based on machine vision is introduced into camshaft precise measuring. Currently, because CCD 3-dimensional measuring can't meet requirements for camshaft's measuring precision, it's necessary to improve its measuring precision. In this paper, we put forward a method to improve the measuring method. A Multi-Character Match method based on the Polygonal Non-regular model is advanced with the theory of Corner Extraction and Corner Matching .This method has solved the problem of the matching difficulty and a low precision. In the measuring process, the use of the Coded marked Point method and Self-Character Match method can bring on this problem. The 3D measuring experiment on camshaft, which based on the Multi-Character Match method of the Polygonal Non-regular model, proves that the normal average measuring precision is increased to a new level less than 0.04mm in the point-clouds photo merge. This measuring method can effectively increase the 3D measuring precision of the binocular CCD.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianxin Qiu, Liang Tan, and Xiaodong Xu "3-D measuring of engine camshaft based on machine vision", Proc. SPIE 7160, 2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, 71601Z (2 February 2009); https://doi.org/10.1117/12.806895
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KEYWORDS
3D image processing

3D modeling

Charge-coupled devices

Content addressable memory

3D metrology

Machine vision

Visual process modeling

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