Abstract
With the development of computer technology and three-dimensional reconstruction technology, three-dimensional reconstruction based on visual images has become one of the research hotspots in computer graphics. Three-dimensional reconstruction based on visual image can be divided into three-dimensional reconstruction based on single photo and video. As an indirect three-dimensional modeling technology, this method is widely used in the fields of film and television production, cultural relics restoration, mechanical manufacturing, and medical health. This article studies and designs a stereo vision system based on two-dimensional image modeling technology. The system can be divided into image processing, camera calibration, stereo matching, three-dimensional point reconstruction, and model reconstruction. In the part of image processing, common image processing methods, feature point extraction algorithm, and edge extraction algorithm are studied. On this basis, interactive local corner extraction algorithm and interactive local edge detection algorithm are proposed. It is found that the Harris algorithm can effectively remove the features of less information and easy to generate clustering phenomenon. At the same time, the method of limit constraints is used to match the feature points extracted from the image. This method has high matching accuracy and short time. The experimental research has achieved good matching results. Using the platform of binocular stereo vision system, each step in the process of three-dimensional reconstruction has achieved high accuracy, thus achieving the three-dimensional reconstruction of the target object. Finally, based on the research of three-dimensional reconstruction of mechanical parts and the designed binocular stereo vision system platform, the experimental results of edge detection, camera calibration, stereo matching, and three-dimensional model reconstruction in the process of three-dimensional reconstruction are obtained, and the full text is summarized, analyzed, and prospected.
Highlights
Vision is the most important sense organ of human body, and 80% of human information is obtained by vision.[1]
Through stereo matching of binocular images, the depth information of the target object is obtained, and the 3D coordinates of the effective feature points in the target image are solved, which lays the foundation for the 3D reconstruction of the target object
Taking the gear of mechanical parts as the research object, the experiment of 3D reconstruction of gear based on 2D image is carried out on the platform of binocular stereo vision system, and satisfactory experimental results are obtained
Summary
Vision is the most important sense organ of human body, and 80% of human information is obtained by vision.[1]. The 3D reconstruction technology refers to the use of computer to establish the mathematical model of 3D object, and obtain the geometric image of the object through external equipment.[38] Under the condition of computer, the target image is analyzed, and the relevant feature points are processed and extracted to restore the surface contour of the 3D object. Through stereo matching of binocular images, the depth information of the target object is obtained, and the 3D coordinates of the effective feature points in the target image are solved, which lays the foundation for the 3D reconstruction of the target object. If two cameras are used to observe P-points on objects from different positions at the same time, according to the principle of imaging, P-points can obtain corresponding 2D coordinates on two cameras, and at the intersection of Experiments 3D reconstruction process and experiment. These are the areas for further optimization and improvement in this article
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