Revolution body object pose vision measurement method

Abstract

The invention discloses a revolution body object pose vision measurement method. The method comprises the following steps: based on a vision measurement technique, and respectively distributing two high-speed cameras on the side surface and the lower surface of an object by adopting two high-speed cameras; setting a mark on the object for measuring a rolling angle and a mass center position of the object; and calculating to obtain position and posture information of the object by extracting a mark line and an axial contour line on the object surface in images captured by the cameras. The position and posture information of the revolution body object obtained by using the method disclosed by the technical scheme of the invention has the advantages of high precision, high robustness and large measurement range compared with that of an existing measurement technology.

Description

technical field [0001] The invention belongs to the technical field of visual measurement, in particular to a method for visual measurement of the pose and posture of a rotational object. Background technique [0002] For tests that need to measure the pose parameters of a rotating target, such as the drop test, the target has the characteristics of simple shape, small size, and fast movement speed. Traditional methods of measuring pose information, such as built-in gyroscopes, accelerometers, etc., will affect the weight and mass distribution of the target, and the response speed cannot meet the requirements, so it is difficult to apply it to the pose measurement test of such targets. [0003] As an advanced measurement technology, visual measurement technology has many advantages such as non-contact, high response speed, and high precision. First, the mapping relationship between the spatial coordinate system entity object and its image is established, that is, the camera...

AI Technical Summary

Problems solved by technology

Liu Shuangjun et al. proposed the three-dimensional matching method of cooperative marker points, which lay out a series of marker points on the surface of the model according to the design rules, so that the features of the model can be captured in any attitude, thereby expanding the measurement range of the model attitude and improving the measurement accuracy. However, this method is still based on the principle of binocular vision, and the measurement of attitude parameters depends on the point features on the image, which is susceptible to interference

For the rotating target, the accuracy of the pitch angle obtained by this method is higher, and the accuracy of the yaw angle is lower

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