One-dimensional retractable target device and feature point calibrating method thereof

Abstract

The invention discloses a one-dimensional retractable target device and a feature point calibrating method thereof. The device comprises a calibration rod and a bottom plate. The method includes the following steps: (1) the calibration rod is stretched to a needed length; (2) the bottom plate is placed in a plane to be calibrated and the position of the circle center of the bottom plate is confirmed; (3) a fixing hole at the rear end of the calibration rod is aligned to a center thread hole of the bottom plate so that the calibration rod can revolve around the center thread hole; (4) the calibration rod is aligned to a datum line of the bottom plate, a positioning hole is aligned to an equant circle thread hole corresponding to the datum line and fixed; (5) a camera is used for shooting images in a whole calibration range, the equant circle thread hole corresponding to a current angle is unfixed, and the calibration rod is revolved to the equant circle thread hole of the next angle and fixed until scanning of a whole calibration area is finished; (6) calibration operation is finished and the calibration rod and the bottom plate are put away. A target is easy to process, cost is low, carrying is convenient, and operation is simple.

Description

technical field [0001] The invention relates to a machine vision measurement system with a large field of view, in particular to a one-dimensional retractable target device and a method for generating calibration feature points. Background technique [0002] The function of the machine vision measurement system is to use the camera to capture the image of the measured object, and use the data of the object extracted from the image to restore the shape, outline, size and other information of the object in space. In such a measurement system, a mapping relationship between the object point coordinates in the three-dimensional space and the image point coordinates in the two-dimensional image is actually established. This mapping relationship is embodied as the internal parameters and external parameters of the machine vision measurement system. Therefore, a basic and key problem in the process of establishing a machine vision system is how to obtain the values ​​of these inte...

AI Technical Summary

Problems solved by technology

[0005] In short, if you want to measure large objects with a size of several meters or more than ten meters, such as measuring the external dimensions of large objects such as cars and containers, you need to make targets of the same size that are easy to use and reasonably priced, which are difficult to achieve with the above methods

No target meeting these requirements has been seen in the prior art

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