Intelligent multi-point three-dimensional information acquisition equipment

Abstract

The embodiment of the invention provides intelligent multi-point three-dimensional information acquisition equipment and an acquisition method. The intelligent multi-point three-dimensional information acquisition equipment comprises an image acquisition device, a rotating device, a bearing device and a connecting rod, the rotating device is connected with the connecting rod, and the connecting rod is driven by the rotating device to rotate; a plurality of image acquisition devices are arranged at different positions on the connecting rod and are driven by the connecting rod to rotate; the rotating device is connected with the bearing device; and it is proposed for the first time that multiple cameras can be vertically arranged to achieve collection at multiple positions for slender spacecollection, so that an overall 3D model is conveniently synthesized, and the synthesis efficiency is improved.

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] When performing 3D measurement, 3D information needs to be collected first. Currently commonly used methods include the use of machine vision and structured light, laser ranging, and lidar. [0003] Structured light, laser ranging, and lidar methods all require active light sources to be emitted to the target, which will affect the target in some cases, and the cost of the light source is relatively high. And the structure of the light source is relatively precise and easy to be damaged. [0004] The way of machine vision is to collect pictures from different angles of objects, and match and stitch these pictures to form a 3D model, which is low-cost and easy to use. When collecting pictures from different angles, multiple cameras can be set at different angles of the object to be tested, and ...

AI Technical Summary

Problems solved by technology

For irregular targets, it is more difficult to obtain their size

At the same time, when there are multiple targets side by side with different sizes, it becomes extremely difficult to optimize the camera acquisition position according to which target size

The optimiza

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