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A Fully Automatic 3D Reconstruction Method Based on Images

机译:基于图像的全自动三维重建方法

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摘要

A fully automatic 3D reconstruction method based on images without manual modeling is presented in this paper. The method extracts 3D information from 2D images directly. Firstly, the feature points must be extracted from the images and then we match these corresponding points. Secondly, to determine the coordinates of 3D points, we should calculate the fundamental matrix, along with the extrinsic and intrinsic parameters of camera, which is to get the essential matrix. Consequently, we can implement the 3D reconstruction of the real scene after establishing the 3D model by Delauny triangulation and texture mapping and rendering in the late stage. Experiments with real images show that the method can reduce the reconstruction time of large-scale virtual scene greatly. It is characterized as efficiency, high stability and robustness.
机译:本文提出了一种基于没有手动建模的图像的全自动三维重建方法。该方法直接从2D图像中提取3D信息。首先,必须从图像中提取特征点,然后我们匹配这些相应的点。其次,为了确定3D点的坐标,我们应该计算基本矩阵,以及相机的外在和固有参数,这是获得必需矩阵。因此,我们可以在建立Delauny三角扫描和纹理映射和渲染后,在建立3D模型之后实现真实场景的三维重建。实验的实验表明,该方法可以大大降低大规模虚拟场景的重建时间。它的特点是效率,高稳定性和鲁棒性。

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