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Binocular vision rotating axis calibration method

A calibration method and binocular vision technology, applied in image data processing, measuring devices, instruments, etc., can solve the problems of complex three-dimensional data process, high calibration cost, and low calibration efficiency, and achieve convenient operation, simple calibration process, The effect of saving calibration cost

Inactive Publication Date: 2009-11-25
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

These methods require a standard plane or a standard sphere with a known high-precision radius, and the calibration cost is relatively high; the three-dimensional data of the surface of the plane or standard sphere needs to be obtained at multiple positions, and the calibration efficiency is relatively low
According to the characteristics of the binocular vision measurement system, the process of measuring the complete surface three-dimensional data of the measured object is complicated, and it is necessary to design a set of turntable calibration methods suitable for the binocular measurement system

Method used

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  • Binocular vision rotating axis calibration method

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] Such as figure 1 Shown is the spherical target required to calibrate the rotating shaft. The target uses a white column to support a black spherical target, and for the convenience of extracting the outline of the target, ensure that the background color is white.

[0034] 1) Edge acquisition of spherical target

[0035] For the spherical target image, because the background gray value is high, while the spherical target gray value is low, the edge of the target can be roughly searched by searching for the gray value jump pixel, such as figure 2 Shown. However, due to the influence of the base, this edge is not the true edge of the target, and the searched edge needs to be screened. First, start from the highest point of the searched edge, and then follow the searched edge to both sides. Because this point is not affected by the base, it can be considered as the p...

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Abstract

The invention belongs to the technique of detecting by using the principle of vision, and in particular relates to a binocular vision rotation axis calibration method. In order to provide a binocular vision rotation axis calibration method with easy operation and relatively simple calibration process, the technical solution adopted in the invention is: binocular vision rotation axis calibration method, which includes the following steps: 1) Obtaining the edge of the spherical target; 2) Finding the space Coordinates of the center of the sphere; 3) Calibrate and calculate the parameters of the rotating shaft. The present invention is mainly used for measuring spatial feature points by using two cameras to simulate the structure of human eyes.

Description

Technical field [0001] The invention belongs to a detection technology using the principle of vision, and particularly relates to a method for calibrating a binocular vision shaft. technical background [0002] Binocular measurement technology is an important part of computer vision detection technology. It uses two cameras to simulate the structure of the human eye to measure spatial feature points. In order to expand the measurement range of the binocular measurement system, it is necessary to add a rotating table to the measurement system, so that the 360° measurement of the measured object can be completed. In order to ensure the accuracy of the measurement after the object to be measured rotates with the turntable, it is necessary to calibrate the turntable and find the axis of rotation of the turntable. [0003] At present, the method of rotating shaft calibration in computer vision measurement is mainly realized by standard plane or standard sphere with known high-precisio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/27G01B11/24G06T7/00
Inventor 王鹏孙长库
Owner TIANJIN UNIV
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