Calibration method suitable for binocular camera acquisition system

Abstract

The invention provides a calibration method suitable for a binocular camera acquisition system. The calibration method comprises the following steps: 1, mounting positions of a binocular camera and a monocular camera; 2, arranging a plane calibration plate to be perpendicular to the axis of the monocular camera, and arranging a calibration block on the plane calibration plate; 3, moving the calibration block on the plane calibration plate, and shooting and recording the position of the calibration block through the monocular camera; 4, calculating a principal point coordinate through the positions of the plurality of calibration blocks; and 5, calibrating the binocular camera system. The main point is convenient to calibrate, the application range and precision are improved, and the complexity of the calculation process is avoided.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a calibration method suitable for a binocular camera acquisition system. Background technique [0002] Vision, hearing, touch and other senses are the main means for human beings to cognition and observe the world, and the most important means of cognition of the world is vision. Human vision is by receiving light information and then processing it by the brain, while computer vision is produced by imitating human vision. Computer vision is to use a camera to imitate the human eye to collect light information, use a computer to imitate the brain to process the acquired data, and finally realize the understanding, observation and recognition of the three-dimensional world. [0003] The first condition of "computer vision" is to obtain the information of the three-dimensional world. First, the image is obtained through the camera, and then the corresponding relationship bet...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the existing defects and provide a calibration method suitable for binocular camera acquisition systems, so as to solve the above-mentioned technical background. Small; the calibration plate method requires high experimental conditions, and the accuracy is not high; the laser method has relatively high accuracy, but requires high-precision instruments and equipment, and has high requirements for operators; the calculation process of the radial alignment method is cumbersome and complicated Shortcomings

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