SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking
Robotics
2022-03-24 v1 Data Analysis, Statistics and Probability
Quantitative Methods
Abstract
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.
Cite
@article{arxiv.2203.12573,
title = {SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking},
author = {Jin Yang and Yue Yin and Alexander K. Landauer and Selda Buyuktozturk and Jing Zhang and Luke Summey and Alexander McGhee and Matt K. Fu and John O. Dabiri and Christian Franck},
journal= {arXiv preprint arXiv:2203.12573},
year = {2022}
}