A 3D reconstruction method of highly reflective surface structured light field based on point cloud adaptive restoration

Abstract

The invention discloses a method for three-dimensional reconstruction of light field of highly reflective surface structure based on point cloud self-adaptive restoration. Firstly, a structured light field 3D reconstruction system is built to extract multi-view light field sub-aperture images; then, the reconstruction system is calibrated, the sinusoidal fringe sequence is projected onto the reference plane, and the reference plane is moved and recorded by a focusing light field camera at each moving distance. The phase change on the reference plane, and the phase value of each pixel point at the initial position, can get the phase difference-depth of field (moving distance) mapping relationship, and the multi-view 3D point can be reconstructed through the sub-aperture image extraction algorithm and the mapping relationship cloud. Finally, there is a certain complementarity between the reconstructed multi-view point cloud data. The data holes in the target point cloud can be iteratively repaired by the same position of other view point clouds, so as to realize the complete 3D reconstruction of highly reflective surface objects. Besides, for the reconstruction result, the present invention proposes a corresponding evaluation method.

Description

technical field [0001] The invention relates to a three-dimensional reconstruction method, in particular to a three-dimensional reconstruction method of an object with a highly reflective area. Background technique [0002] Optical 3D measurement methods have the advantages of full-field acquisition, non-contact, low cost, high precision, and fast processing, and are now widely used in academic research and industry. The traditional optical three-dimensional measurement technology is limited to a certain extent by the reflectivity of the surface of the object to be measured, and it is required that there should not be a large area of ​​high reflectivity on the surface of the object to be measured. However, in the process of industrial application, after the parts are processed, the surface will become very bright. When using the traditional optical 3D measurement technology to measure the parts in 3D, it is necessary to collect the images of the parts through the camera. Th...

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Problems solved by technology

The traditional optical three-dimensional measurement technology is limited to a certain extent by the reflectivity of the surface of the measured object, and it is required that there should be no large areas of high reflectivity on the surface of the measured object.

However, in the industrial application process, the surface of the part will become very bright after processing. When using traditional optical three-dimensional measurement technology to measure the part, it is necessary to collect the part image through the camera. Due to the high reflectivity of the part surface, it will cause There are large areas of overexposure in the collected images, which leads to large data holes in the reconstructed 3D model of the part

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