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Fiber assignment by continuous tracking for parametric fiber reinforced polymer reconstruction

机译:通过连续跟踪参数纤维增强聚合物重建的纤维分配

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In this work, we propose an extension of the recently presented Parametric Reconstruction (PARE) algorithm1 towards the direct reconstruction of straight and curved fibers in glass fiber-refinforced polymer (GFRP) samples. The fibers are traced based on the Fiber Assignment by Continuous Tracking by introducing a piece-wise linear model. We show how the algorithm can estimate fiber parameters from the X-ray projection data and give an outlook on its application in our existing fiber estimation framework.
机译:在这项工作中,我们提出了最近呈现的参数重建(PARE)算法1朝向玻璃纤维 - 精炼聚合物(GFRP)样品的直线和弯曲纤维的直接重建。通过引入一体化线性模型,通过连续跟踪基于纤维分配来跟踪纤维。我们展示了算法如何从X射线投影数据中估计光纤参数,并在我们现有的光纤估计框架中展开其应用。

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