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Segmentation of Rigid Motion from Non-rigid 2D Trajectories

机译:非刚性2D轨迹的刚性运动分割

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摘要

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,该算法能够在给定透视相机获取的2D测量值的情况下,识别可变形对象内的刚性移动点集。该方法基于带有引导采样的RANSAC算法,并根据序列中的成对帧估计基本矩阵。一旦可以对刚性和非刚性点进行分割,则可以使用一组刚性点来估计内部摄像机校准参数,整体刚性运动和非刚性3D结构。

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