VR技术在3D扫描图像重建中的应用研究

Research on the Application of VR Technology in 3D Scanning Image Reconstruction

为了提高3D扫描图像的识别能力,提出基于VR技术的3D扫描图像重建方法。构建3D扫描图像的三维视觉重建模型,对3D扫描图像进行三维稀疏表面特征重建,构造3D扫描图像多分辨视景仿真模型,采用机器视觉方法进行3D扫描图像的三维特征重构,结合小波多尺度分解方法进行3D扫描图像的边缘轮廓检测和特征点标定,建立3D扫描图像的角点检测模型,根据边缘轮廓检测和角点检测结果,实现3D扫描图像的优化视景仿真重构。实验结果表明,采用该方法进行3D扫描图像重建的视景仿真性能较好,重建的视觉效果较好,提高了3D扫描图像的三维重构和特征识别能力。

In order to improve the recognition ability of 3D scanned images,a 3D scanned image reconstruction method based on VR technology is proposed.Constructing a 3D visual reconstruction model of 3D scanned images,reconstructing 3D scanned images from 3D scanned images,constructing a 3D scanned image multi-resolution visual simulation model,and using machine vision to reconstruct 3D features of 3D scanned images,combined with wavelet multi-scale The decomposition method performs edge contour detection and feature point calibration of 3D scanned images,establishes a corner detection model of 3D scanned images,and realizes optimized visual simulation reconstruction of 3D scanned images according to edge contour detection and corner detection results.The experimental results show that the visual simulation performance of 3D scanning image reconstruction is better,and the reconstructed visual effect is better,which improves the 3D reconstruction and feature recognition ability of 3D scanned images.