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Three-dimensional reconstruction of Roman coins from photometric image sets

机译:从光度图像集中三维重建罗马硬币

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A method is presented for increasing the spatial resolution of the three-dimensional (3-D) digital representation of coins by combining fine photometric detail derived from a set of photographic images with accurate geometric data from a 3-D laser scanner. 3-D reconstructions were made of the obverse and reverse sides of two ancient Roman denarii by processing sets of images captured under directional lighting in an illumination dome. Surface normal vectors were calculated by a "bounded regression" technique, excluding both shadow and specular components of reflection from the metallic surface. Because of the known difficulty in achieving geometric accuracy when integrating photometric normals to produce a digital elevation model, the low spatial frequencies were replaced by those derived from the point cloud produced by a 3-D laser scanner. The two datasets were scaled and registered by matching the outlines and correlating the surface gradients. The final result was a realistic rendering of the coins at a spatial resolution of 75 pixels/mm (13-mu m spacing), in which the fine detail modulated the underlying geometric form of the surface relief. The method opens the way to obtain high quality 3-D representations of coins in collections to enable interactive online viewing. (C) 2017 SPIE and IS&T
机译:提出了一种通过组合从一组摄影图像得出的精细光度细节与来自3D激光扫描仪的精确几何数据来提高硬币的三维(3-D)数字表示的空间分辨率的方法。通过处理在照明穹顶中的定向照明下捕获的图像集,对两个古罗马德纳里人的正面和背面进行了3D重建。表面法向矢量是通过“有界回归”技术计算的,不包括金属表面反射的阴影和镜面反射分量。由于在集成测光法线以生成数字高程模型时难以获得几何精度的已知困难,低空间频率被从3-D激光扫描仪产生的点云推导的空间频率所替代。通过匹配轮廓并关联表面梯度来缩放和注册这两个数据集。最终结果是以75像素/毫米(13微米间距)的空间分辨率对硬币进行了逼真的渲染,其中精细的细节调节了表面浮雕的基本几何形状。该方法为获得收藏中硬币的高质量3-D表示形式提供了途径,从而可以进行交互式在线查看。 (C)2017 SPIE和IS&T

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