Three-dimensional matching device and method between moving objects

Abstract

The embodiment of the invention provides a device and a method for realizing 3D matching between moving objects. The device comprises a target object 3D information acquisition device and a first processor, the target object 3D information acquisition device is used for continuously scanning the to-be-matched object when the to-be-matched object moves, and respectively obtaining a plurality of images capable of synthesizing a three-dimensional model at a plurality of moments; and the first processor is used for matching the three-dimensional models of the at least two to-be-matched objects atthe same moment. The visual three-dimensional acquisition device with a simple structure is proposed for the first time to realize three-dimensional model construction of the objects, so that mutual matching between the objects can be realized, and the acquisition speed and precision are high.

Description

technical field [0001] The invention relates to the technical field of shape measurement, in particular to the technical field of 3D shape measurement. Background technique [0002] At present, object-to-object matching is required in many scenarios. For example, using a helicopter to rescue at sea requires alignment between the helicopter and the water surface boat; or two trucks need to carry goods by relay. That is, for two objects that are moving differently at the same time, they are moving with each other, so if alignment, docking, insertion and other actions are to be performed, clear images of both are required for further operations. In the prior art, two-dimensional images are used, which brings large errors. Of course, the combination of two-dimensional image and range finder is also used in the prior art, but it will cause the problems of complicated equipment, high cost and difficult operation. Therefore, there is an urgent need for a device and method for per...

AI Technical Summary

Problems solved by technology

However, it is difficult to measure the target in an open space. For example, it is necessary to collect 3D information of streets, traffic intersections, buildings, tunnels, traffic flow, etc. (not limited to this)

This makes this method difficult to work

Even for fixed smaller objects, such as furniture, human body parts, etc., although the size can be measured in advance, this method is still subject to major limitations: the size of the object is difficult to accurately determine, especially in some applications where the object needs to be measured. Frequent replacement, each measurement brin

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