Device utilizing single camera for achieving binocular vision three-dimensional imaging

Abstract

The invention discloses a device utilizing a single camera for achieving binocular vision three-dimensional imaging. The device comprises the camera arranged behind an object to be measured, a left view image reflecting module for reflecting a left view image of the object to the camera, and a right view image reflecting module for reflecting a right view image of the object to the single camera. The single camera is utilized for replacing two cameras in a traditional method, a system is simplified, camera internal parameters to be calibrated are reduced, and the difficulty of system calibration is lowered; in addition, in binocular vision, the positive correlation between the depth resolution of three-dimensional imaging and the distance of the two cameras is formed, the inverse correlation is formed between the depth resolution of three-dimensional imaging and the distance from the object to the camera is formed, three galvanometers can rotate around the axis, and therefore the system can obtain the high depth resolution for objects of different depths.

Description

technical field [0001] A three-dimensional imaging device, in particular a binocular vision three-dimensional imaging device. Background technique [0002] 3D imaging plays an important role in industrial inspection, profiling, machine vision, artificial intelligence and other fields. The current three-dimensional imaging method is mainly a non-contact photoelectric detection method, and the binocular vision method is widely used because of its simple structure and low cost. [0003] The traditional binocular vision 3D imaging device generally includes two left and right cameras. After the two cameras are binocularly calibrated, the calibrated and calibrated left and right views can be obtained. The matching algorithm is used to obtain the disparity map. The internal and external parameters of the object can be used to reconstruct the three-dimensional model of the object. However, due to various reasons, the internal parameters of the two cameras cannot be exactly the sam...

AI Technical Summary

Problems solved by technology

However, due to various reasons, the internal parameters of the two cameras cannot be exactly the same. In addition to the external parameters, there are as many as 14 parameters that need to be calibrated, so the calibration is difficult and the calibration accuracy is not high. The reconstruction effect has a greater impact

In addition, after the two cameras are fixed, the imaging depth resolution is inversely related to the distance of the object. The farther the object is, the smaller the parallax is and the lower the resolution is. Therefore, it is impossible to achieve higher accuracy for the entire object for objects with greater depth.

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