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Segmentation of Rigid Motion from Non-rigid 2D Trajectories

机译:非刚性2D轨迹刚性运动的分割

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In this paper we evaluate an automatic segmentation algorithm able to identify the set of rigidly moving points within a deformable object given the 2D measurements acquired by a perspective camera. The method is based on a RANSAC algorithm with guided sampling and an estimation of the fundamental matrices from pairwise frames in the sequence. Once the segmentation of rigid and non-rigid points is available, the set of rigid points could be used to estimate the internal camera calibration parameters, the overall rigid motion and the non-rigid 3D structure.
机译:在本文中,我们评估了一种自动分割算法,其能够在通过透视照相机获取的2D测量的情况下识别可变形对象内的刚性移动点的集合。该方法基于具有引导采样的Ransac算法和序列中的成对帧的基本矩阵的估计。一旦刚性和非刚性点的分割都可提供,可以使用该组刚度点来估计内部相机校准参数,整体刚性运动和非刚性3D结构。

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