Method of Detection for Complex Surfaces Based on Industrial Close-Range Photogrammetry

Li Zhong Wang; Dong Dong Zhang; Jin Liang; Xiao Bo Liao

doi:10.4028/www.scientific.net/AMR.787.944

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Dynamical Behaviors of Stochastic Reaction-Diffusion Hopfield Neural Networks
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A Region-Growing Adaptation-Based Algorithm for the Smart Detection of Remote Sensing Images
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H∞-Based LQR Control for Flexible Air-Breathing Hypersonic Vehicles with Pole Placement
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Fault Locating of Grounding Grids Based on Extreme Learning Machine Elman Neural Network
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 787Method of Detection for Complex Surfaces Based on...

Method of Detection for Complex Surfaces Based on Industrial Close-Range Photogrammetry

Abstract:

The rapid detection of the large complex surface was researched with the development of China's manufacturing industry. A industrial close-range photogrammetry new detection Method was put forward based on the analysis of three-dimensional optical measurement principle. The experiment results verify that the accuracy of the three-dimensional optical measurement system independently developed by Xi'an Jiao Tong University meets the Engineering requirements. The main characteristics of large workpiece can be clearly measured and the detection method can be easily used at the production site.

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Periodical:

Advanced Materials Research (Volume 787)

Pages:

944-946

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.787.944

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Online since:

September 2013

Authors:

Li Zhong Wang, Dong Dong Zhang, Jin Liang, Xiao Bo Liao

Keywords:

Collinear Equation, Industrial Photogrammetry, Optical Measurement

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References

[1] Weiwei Qu, Feng Gao, Farong Du. The analysis about sources of error and correction of the coordinate measuring machine technology [J]. Mechanical Design 2009 (6) : 76-79.

Google Scholar

[2] LuhanannTh, Wendt K Recommendations for an acceptance and verification test of optical 3D measurement systems[J]．International Archives for Photo grammetry and Remote Sensing，2000．33(5)：493—499.

Google Scholar

[3] WenhaoFeng, The introduction of V-STARS-type industrial photogrammetry measurement system [J]. Geomatics, 2000, 4: 47.

Google Scholar

[4] Yong Chuan Yuan, The detection technology research of grid strain based on photogrammetry in board material forming. [D]. Xi'an: Xi'an JiaoTong University, 2011, 6.

Google Scholar