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Model-Based Registration of Front- and Backviews of Rotationally Symmetric Objects

机译:旋转对称对象的前视图和后视图的基于模型的配准

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This paper shows an algorithm that prealigns the front- and the backviews of rotationally symmetric objects for the registration of the two 3D-surfaces without using corresponding points. The geometric alignment of the two 3D surfaces is then performed by using a modified ICP (iterative closest point) algorithm, which needs an initial estimate of the relative pose. The method proposed uses the axis of rotation of fragments to bring two range images into alignment. We are developing a classification system for archaeological fragments based on their profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. Hence, the correct registration of the front- and backview are important. We demonstrate the method and give results on synthetic and real data.
机译:本文展示了一种算法,该算法可预先对齐旋转对称对象的前视图和后视图,以在不使用相应点的情况下对齐两个3D曲面。然后,使用改良的ICP(迭代最近点)算法执行两个3D表面的几何对齐,该算法需要对相对姿态进行初始估算。提出的方法使用片段的旋转轴将两个距离图像对齐。我们正在根据考古碎片的轮廓开发分类系统,该轮廓是碎片在对称旋转轴方向上的横截面。因此,正确注册正视图和后视图非常重要。我们演示了该方法,并给出了综合和真实数据的结果。

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