A three-dimensional imaging scanning system and point cloud registration method based on combined lens group

Abstract

The invention discloses a three-dimensional imaging scanning system and a point cloud registration method based on a combined lens group, which sequentially include a projector, a combined lens, a beam expander, a measured object, a medium high-reflection mirror and a CCD camera according to the light path; The combined lens sequentially includes a polarizer, a protective film, a polarizer, a polarizing prism, a quarter-wave plate, an anti-reflection film and a corner cube prism arranged on both sides of the combined lens. The invention can solve the problem that when the structured light three-dimensional scanning system collects image information, it is easily affected by factors such as field of view, natural light, etc., which reduces the accuracy and clarity of the collected information, and improves the clarity of the scanning system to obtain the three-dimensional data of the object to be measured. and integrity. At the same time, aiming at the accuracy of the point cloud registration method based on feature key points, the present invention proposes a two-dimensional three-screen point cloud registration method, which integrates the two-dimensional and three-dimensional information of the point cloud, and combines its image features and geometric features. Achieve accurate and efficient 3D point cloud registration.

Description

technical field [0001] The invention relates to a three-dimensional imaging scanning system and a point cloud registration method based on a combined lens group, and belongs to the technical field of additive manufacturing. Background technique [0002] The use of optical technology to obtain 3D information of objects is a research hotspot in the field of additive manufacturing at present, and the requirements for the accuracy and speed of 3D information acquisition of objects are getting higher and higher. Among them, the use of grating projection measurement is the main method for obtaining 3D data at present. This method can quickly obtain the 3D coordinate information of the object surface by collecting the changes of the grating light projected on the object, and establish a 3D point cloud of the measured object. Model. Chen Yi et al. designed a scanning system that can accurately extract the 3D contour information of the object surface (Chen Yi, Yang Haima, Xu Yuting,...

AI Technical Summary

Problems solved by technology

[0003] Due to the influence of factors such as field of view, natural light, and external ambient light, the accuracy and clarity of the image information collected by the 3D scanning system will be reduced, so that it will affect the final acquired point cloud data

In addition, due to light reflection, scattering and angle problems, the light on the surface of the measured object cannot be completely collected by the camera, resulting in the loss of image information and point cloud data

Considering the overall accuracy of 3D point cloud registration, matching point pairs described only by image feature points is not enough

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