Research on the multi-angle monocular coordinates measuring system for spatial points

Yihui Zhang; Changku Sun; Peng Wang; Pengfei Sun

doi:10.1117/12.2189032

7 August 2015 Research on the multi-angle monocular coordinates measuring system for spatial points

Yihui Zhang, Changku Sun, Peng Wang, Pengfei Sun

Proceedings Volume 9623, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 96230P (2015) https://doi.org/10.1117/12.2189032
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

To improve the accuracy of coordinate measurement, the precise 3D coordinates of spatial points on the surface of the target object are needed. Based on the stereo vision measurement model, an all-around coordinates measuring system with single camera and a two-dimensional turntable is proposed. By controlling the rotation of objects in two different orientations and by the principle of relative motion, the single-CCD sensor model was imaged as a visual multi-CCD sensor model. In other words, the visual CCD sensors at different but relative positions are used to acquire coordinates information of the measured points. Considering the calibration accuracy of those two shafts affecting the accuracy of the entire system, the mathematical calibration model is built, consisting of virtual multi-CCD sensor measuring system based on the non-orthogonal shafting. The shaft and its calibration method are described in detail. The experimental result shows that the system based on the virtual multi-CCD sensor model can achieve the standard deviation of 0.44mm, and thus proves the feasibility of its multi-angle coordinates measurement for spatial points.

Citation Download Citation

Yihui Zhang, Changku Sun, Peng Wang, and Pengfei Sun "Research on the multi-angle monocular coordinates measuring system for spatial points", Proc. SPIE 9623, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 96230P (7 August 2015); https://doi.org/10.1117/12.2189032

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KEYWORDS

Cameras

Imaging systems

Mathematical modeling

Electro optical modeling

Visual process modeling

Calibration

Sensors

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