Multi-camera measurement method based on refractive projection model and beam tracking method

Abstract

The invention discloses a multi-camera measurement method based on a refractive projection model and a beam tracking method, and used for the field of visual detection and image measurement. The process of the present invention comprises the following steps of: building a multi-camera system; global calibrating by multi-camera based on the refractive projection model and the beam tracking method;respectively capturing images from different directions by a plurality of cameras; extracting and matching features to obtain measured three-dimensional points; converting the three-dimensional pointsobtained by each subsystem into the same coordinate system to obtain global measured data; and using the obtained three-dimensional point data to calculate an indirect amount (e.g., strain, displacement). The key of the present invention is the calibration of the multi-camera system, the result will affect the subsequent three-dimensional point acquisition. According to the multi-camera measurement method based on the refractive projection model and the beam tracking method, the features in the measurement process are that the multiple cameras in the system can be calibrated at the same timeto solve the problem that a planar calibration plate limits the distribution of multiple cameras, and the measurement process is flexible.

Description

technical field [0001] The invention belongs to the field of visual detection and image measurement, and in particular relates to a multi-camera measurement system for global measurement. Background technique [0002] Visual measurement has been a research hotspot in the field of computer vision in recent years. It is widely used in military, industrial and civil fields, and has high theoretical research and practical application value. The single-camera system can only obtain two-dimensional information, which limits the measurement of multi-plane targets. The binocular camera system has simple structure, low cost and high precision, but it can only collect the target object at a fixed angle, and obtain the target object’s image. Three-dimensional information, and the target object has problems such as different sizes and complex shapes that cause self-occlusion, so it cannot be accurately measured. The multi-camera system can not only obtain the multi-plane information of...

AI Technical Summary

Problems solved by technology

At present, for the calibration of multi-camera systems, there are mainly problems such as cumbersome operation process, inaccurate calibration results, and high requirements for the manufacturing process of calibration objects.

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