Calibration of 3-D measurement system based on a double position sensitive detectors

doi:10.16511/j.cnki.qhdxxb.2018.26.023

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Abstract Binocular vision systems have been widely used in many areas. Traditional calibration methods for binocular vision systems commonly use many complicated mathematical models, which result in low precision and speed. This paper presents a fast measurement method based on double position sensitive detectors (PSDs). Two detectors are aimed from different angles to detect the position of the laser point for the 3D measurement. The 3-D measurement is greately simplified by replacing a charge coupled device (CCD) with a PSD. Since this method is fundamentally different from traditional methods, the normal calibration methods are no longer applicable. Thus, this article presents two calibration methods respectively using an improved Faugeras calibration combined with Levenberg-Marquardt (LM) arithmetic optimization and a back propagation (BP) neural network. Tests show that the LM optimization gives better accuracy and stability.

Keywords 3-D measurement position sensitive detector Faugeras calibration Levenberg-Marquardt arithmetic optimization back propagation neural networks

ZTFLH:

TP391.41

Issue Date: 15 April 2018

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	ZHENG Jun
	LI Wenqing

Cite this article:

ZHENG Jun,LI Wenqing. Calibration of 3-D measurement system based on a double position sensitive detectors[J]. Journal of Tsinghua University(Science and Technology), 2018, 58(4): 411-416.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2018.26.023 OR http://jst.tsinghuajournals.com/EN/Y2018/V58/I4/411

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