基于网格结构光的三维重建技术研究

Abstract

The method of three-dimensional reconstruction using structured light projection has the characteristics of non-contact, high precision, easy operation, and strong real-time performance. Therefore, it has been widely used in industrial detection, cultural relics protection, medical care and other fields, and is currently the subject of visual research. The hot direction, the future also has good prospects. In this paper, based on the grid structure light, the 3D reconstruction method has been deeply studied and experimented, and a set of three-dimensional reconstruction system with strong adaptability in a small range has been designed.

This article is mainly from the following three aspects:

（1）Comprehensive analysis of the status quo at home and abroad, through analysis and research, and based on the known principles of stereo vision system, design and build an overall experimental system. At the same time, according to the existing calibration algorithm, select the method of calibration of the two-dimensional planar target, the system The overall calibration.

（2）Aiming at different feature extraction and matching algorithms, theoretical research was first carried out, and then based on grid structure light, Brisk algorithm was selected as a feature extraction algorithm, and Freak algorithm was used as a feature matching algorithm, and also based on grid structure light. Information, design a simple and easy to implement classification algorithm, improve the accuracy of the overall point cloud through the Ransac algorithm, and ultimately improve the system accuracy.

（3）Through multi-angle point cloud acquisition and the ICP algorithm, based on KD-tree search, complete the integration of the object point cloud, through the MLS algorithm to preprocess the acquired point cloud, reduce the noise, while using the Octtree algorithm-based Spatial segmentation, and the use of Poisson algorithm to complete the reconstruction of the surface of the object, and finally get the three-dimensional model of the object. The working distance of the system is between 350mm-450mm, for features without features, the reconstruction accuracy of difficult-to-measure objects with small volumes can reach 3%.

Key words：structured light；binocular vision ；feature extraction and matching；3D reconstruction；

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