论文标题
SerialTrack：尺度和旋转不变的增强拉格朗日粒子跟踪
SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking
论文作者
论文摘要
我们提出了一种新的粒子跟踪算法，以准确解决大变形和旋转运动场，该算法利用局部和全局粒子跟踪算法。我们将此方法称为比例尺和旋转不变的增强拉格朗日粒子跟踪（SerialTrack）。此方法为多尺度跟踪算法中的每个粒子构建了迭代量表和旋转不变拓扑特征。全球运动学兼容性条件被用作全球增强的拉格朗日限制，以提高跟踪精度。提供了一种实现这种数值方法来跟踪2D和3D，增量和累积变形字段的开源软件包。
We present a new particle tracking algorithm to accurately resolve large deformation and rotational motion fields, which takes advantage of both local and global particle tracking algorithms. We call this method the ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking (SerialTrack). This method builds an iterative scale and rotation invariant topology-based feature for each particle within a multi-scale tracking algorithm. The global kinematic compatibility condition is applied as a global augmented Lagrangian constraint to enhance the tracking accuracy. An open source software package implementing this numerical approach to track both 2D and 3D, incremental and cumulative deformation fields is provided.
