Reconstruction of objects with jagged edges through Rao-Blackwellized fitting of piecewise smooth subdivision curves

M. Kaess, F. Dellaert
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引用次数: 2

Abstract

In some applications objects are known to have non-smooth or "jagged" edges, which are not well approximated by smooth curves. We use subdivision curves as a simple but flexible curve representation, which allows tagging corners to model non-smooth features along otherwise smooth curves. A Markov chain Monte Carlo approach yields an approximate posterior distribution over tags, while Rao-Blackwellization allows us to integrate out the control point locations by an approximation. We apply this general methodology to multi-view reconstruction of piecewise smooth curves from multiple calibrated views in which the object has been segmented from the background. Results are shown for multiple images of two pot shards as would be encountered in archaeological applications.
采用rao - blackwelzed方法对分段光滑细分曲线进行拟合,重建边缘呈锯齿状的目标
在某些应用中,已知对象具有不光滑或“锯齿”边缘,这些边缘不能很好地由光滑曲线近似。我们使用细分曲线作为一种简单但灵活的曲线表示,它允许标记角来沿着光滑的曲线建模非光滑特征。马尔科夫链蒙特卡罗方法在标签上产生近似的后验分布,而rao - blackwell化允许我们通过近似积分出控制点位置。我们将这种通用方法应用于从多个校准视图中分段平滑曲线的多视图重建,其中目标已从背景中分割出来。结果显示了在考古应用中可能遇到的两个罐子碎片的多个图像。
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