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3D surface reconstruction from multiview photographic images using 2D edge contours

机译:使用2D边缘轮廓从多视图摄影图像进行3D表面重建

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摘要

Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method.
机译:从多视图2D摄影图像重建3D形状的大多数技术都需要大量图像。在本文中,我们提出了一种新的方法来重建3D曲面,该曲面使用少量多边形(例如多边形)表示。 10个具有2D摄影图像的相机配置的完整先验知识。该方法是自动的。与大多数当前可用的基于轮廓的多视图重建方法不同,3D曲面点和曲面可直接从2D边缘进行重建,而无需进行昂贵的中间体素重建。通过所提出的方法重建的表面是自优化的。在曲面的高度弯曲部分上会自动生成更多曲面点和多边形。对计算机生成的对象和真实的物理对象进行了实验,以验证该方法。

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