Research on 3D measurement model by line structure light vision

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

11 Scopus Citations
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Detail(s)

Original languageEnglish
Article number88
Journal / PublicationEurasip Journal on Image and Video Processing
Volume2018
Publication statusPublished - 18 Sept 2018

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Abstract

For serious radial distortion and high precision measurement, 3D measurement model is studied in the paper. Based on the two-step calibration algorithm, a round initialization window is proposed to calculate the initial value of the camera parameters for nonlinear optimization. In order to solve the problem that the Supersonic Transport Evaluation Group algorithm of light stripe center extraction has a large amount of computation, a method is presented by normalized correlation coefficient (NCC) method and principal component analysis (PCA). Finally, the coordinates of the central stripe could be obtained based on the bilinear interpolation and parabolic fitting. With the parameters of the structured light plane that could be obtained by the coordinates of the central stripe, the height of block gauge is measured by the 3D measurement model. The experiment results showed that the average measurement error is 0.0191 mm, and the strip extraction speed is improved.

Research Area(s)

  • 3D measurement model, Line structure light, Principal component analysis, Template matching

Citation Format(s)

Research on 3D measurement model by line structure light vision. / Liu, Siyuan; Zhang, Yachao; Zhang, Yunhui et al.
In: Eurasip Journal on Image and Video Processing, Vol. 2018, 88, 18.09.2018.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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