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Calibration method for structured light measurement system with projected fringe geometric distribution characteristics

A feature structure and system calibration technology, applied in the field of visual inspection, can solve the problems of long time-consuming calibration and high cost

Inactive Publication Date: 2019-01-29
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method avoids the calibration of cameras and projectors, but the calibration is time-consuming and expensive

Method used

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  • Calibration method for structured light measurement system with projected fringe geometric distribution characteristics
  • Calibration method for structured light measurement system with projected fringe geometric distribution characteristics
  • Calibration method for structured light measurement system with projected fringe geometric distribution characteristics

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Embodiment Construction

[0062] The calibration method proposed by this system does not require the assistance of precision guide rails, the calibration process is simple, and the calibration accuracy is high, so it is very suitable for on-site calibration.

[0063] This calibration method is composed of two parts. Firstly, the coordinates of the known spatial points in the camera coordinate system are obtained by using the uncertain viewing angle calibration method, and then the system calibration is carried out by using the camera coordinate system coordinates and image coordinates of these points and their coded values. The relationship between the coordinates in the Z direction and the image information and the relationship between the coordinates in the XY direction and the image information.

[0064] 1 Calibration in the Z direction

[0065] The Z-direction value of the measurement system is jointly determined by the image coordinates (u, v) and the corresponding coded value p. Since there is a...

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Abstract

The invention relates to the visual detection technology, and provides a calibration method of a structured light measuring system. According to a calibration model, the application range is wide, the measuring precision is high, and the calibration process is simple. According to the technical scheme, the structured light measuring system calibration method based on a projecting fringe geometric distribution characteristic includes: firstly obtaining coordinates of known spatial points in a camera coordinate system by employing an uncertain viewing angle calibration method, then performing system calibration by employing the camera coordinate system coordinates and image coordinates of the points and coding values thereof, and respectively establishing the relation between Z-direction coordinates and image information and the relation between XY direction coordinates and the image information. The method is mainly applied to occasions of visual detection.

Description

technical field [0001] The invention relates to visual detection technology, in particular to a calibration method for a structured light measuring system with geometric distribution characteristics of projection fringes. Background technique [0002] Structured light three-dimensional visual measurement technology has the advantages of non-contact visual measurement, high speed, high degree of automation, and good flexibility. Structured light 3D vision is based on the principle of optical triangulation, and calculates the surface profile of the measured object by calculating the offset information of various light mode feature points in the collected images. The optical projector projects a certain light pattern, which makes the structured light image information easy to extract, so the measurement accuracy is high, and it is widely used in the online detection of various industrial products. [0003] The accuracy of a structured light measurement system depends on the sy...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/24
CPCG01B11/2433
Inventor 孙长库陆鹏王鹏
Owner TIANJIN UNIV