基于双目视觉的高精度三维重建技术

High Precision 3D Reconstruction Technology Based on Binocular Vision

通过对双目视觉原理及亚像素插值技术的深入分析,研究如何在双目视觉图像的基础上实现场景的高精度3D重建。实验以Intel RealSense D435相机作为采集工具,完成摄像机标定和图像预处理,相机拍摄的图像为本次研究提供了较为清晰的数据展现,利用OpenCV和SIFT算法完成立体匹配,获取点云图。从实验结果来看,该技术能够较好地实现双目视觉条件下的3D重建。

Through the in-depth analysis of binocular vision principle and sub-pixel interpolation technology,this paper studies how to realize high-precision 3D reconstruction of scene based on binocular vision image.The experiment takes Intel RealSense D435 camera as the acquisition tool,completes camera calibration and image preprocessing,the images taken by the camera provide a clearer data display for this study,uses OpenCV and SIFT algorithm to complete stereo matching and obtain point cloud map.The experimental results show this technology can better realize 3D reconstruction under the condition of binocular vision.