Camera equipment calibration method, electronic equipment and storage medium

Abstract

The invention provides a camera device calibration method and device and a storage medium, and the method comprises the steps: obtaining an image frame sequence of a target object based on each camera device, estimating a two-dimensional joint coordinate and a three-dimensional skeleton coordinate of the target object shot by each camera device, and obtaining a three-dimensional center coordinate of the three-dimensional skeleton coordinate; analyzing the two-dimensional joint coordinates and the three-dimensional skeleton coordinates shot by each pair of camera devices according to a PNP algorithm to obtain a first transformation matrix and a second transformation matrix, determining a relative transformation matrix between each pair of camera devices according to each first transformation matrix and each second transformation matrix, and repeating the above steps to obtain a relative transformation matrix between each pair of camera devices; three-dimensional center coordinates of the three-dimensional skeleton coordinates are obtained, and a relative transformation matrix between every two camera devices is obtained; and according to the relative change matrix between every two camera devices and a predefined reference coordinate, obtaining a three-dimensional attitude of each camera device relative to the three-dimensional center coordinate of the target object. The objective of the invention is to improve camera equipment calibration efficiency and calibration accuracy.

Description

technical field [0001] The present application relates to the field of vision technology, and in particular, to a method for calibrating an imaging device, an electronic device, and a storage medium. Background technique [0002] At present, with the application of distributed intelligent camera systems in the fields of artificial intelligence and computer vision, the calibration requirements for multi-camera equipment are getting higher and higher. Because distributed intelligent camera systems often require the deployment of hundreds or even thousands of camera devices for applications such as security, safety, or business analysis. [0003] However, in the actual application process, if the conventional camera calibration method is used to calibrate such a large-scale camera equipment, it is not only necessary to move the calibration plate in front of each camera, but also to ensure that at least two cameras can see the calibration plate at the same time. Plane and calib...

AI Technical Summary

Problems solved by technology

This strict requirement not only limits the deployment position of the camera, but also varies with the deployment position of the camera equipment, and the movement rules of the corresponding calibration board are also different, resulting in low calibration efficiency for large-scale deployment of camera equipment and it is difficult to ensure the accuracy of the calibration Spend

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