基于局部坐标正则化的鲁棒模板非刚体运动跟踪。

Wei Li, Shang Zhao, Xiao Xiao, James K Hahn
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引用次数: 3

摘要

在本文中,我们提出了基于模板的非刚性配准算法来解决单台或多台商品深度相机帧对帧运动跟踪中的不对准问题。在非刚性配准中,我们分析了相邻节点的局部坐标中的变形,并利用这种微分表示来表示变形场的正则化项。基于表面区域的跟踪状态,每对相邻节点的局部坐标正则化是不同的。我们提出了针对不同表面区域的跟踪策略,以最大限度地减少不对准和减少误差累积。因此,该方法可以保留局部几何特征并防止不必要的扭曲。此外,我们还引入了一种基于测地线的对应估计算法来对大位移曲面。最后,通过详细的实验验证了所提方法的有效性。
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Robust Template-Based Non-Rigid Motion Tracking Using Local Coordinate Regularization.

In this paper, we propose our template-based non-rigid registration algorithm to address the misalignments in the frame-to-frame motion tracking with single or multiple commodity depth cameras. We analyze the deformation in the local coordinates of neighboring nodes and use this differential representation to formulate the regularization term for the deformation field in our non-rigid registration. The local coordinate regularizations vary for each pair of neighboring nodes based on the tracking status of the surface regions. We propose our tracking strategies for different surface regions to minimize misalignments and reduce error accumulation. This method can thus preserve local geometric features and prevent undesirable distortions. Moreover, we introduce a geodesic-based correspondence estimation algorithm to align surfaces with large displacements. Finally, we demonstrate the effectiveness of our proposed method with detailed experiments.

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