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Computation of Curvature Skeleton to Measure Deformations in Surfaces

机译:曲率骨架的计算以测量曲面中的变形

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This work presents a method to analyse 3D flat objects and to measure variations of its surface. The method represents of the objects using processsing techniques based on point cloud. The proposed method is focused on the deformation detection of elastic objects which are formed by flat faces. These deformations are usually caused when two bodies, a solid and another elastic object, come in contact and there are contact pressures among their faces. Our method describes an algorithm to estimate the deformation shape. It is done by calculating its skeleton. Particularly, the algorithm calculates the curvature values of the surface points on the object using an analysis of eigenvectors and eigenvalues. Afterwards, the points of the similar curvature are grouped in level curvatures. Finally, a set of the minimum path among level curvatures are calculated to obtain the skeleton. The paper shows a set of experiments which simulate the deformations caused by a robot hand in manipulation tasks of flat objects.
机译:这项工作提出了一种分析3D平面物体并测量其表面变化的方法。该方法使用基于点云的处理技术来表示对象。所提出的方法集中于由平面形成的弹性物体的变形检测。这些变形通常是由于两个物体(一个固体和另一个弹性物体)接触并且它们的面之间存在接触压力而引起的。我们的方法描述了一种估计变形形状的算法。通过计算其骨架来完成。特别地,该算法使用特征向量和特征值的分析来计算物体表面点的曲率值。然后,将相似曲率的点按水平曲率分组。最后,计算一组水平曲率中的最小路径以获得骨架。本文展示了一组实验,这些实验模拟了机器人手在扁平物体的操纵任务中引起的变形。

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