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SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking

Published

Author(s)

Jin Yang, Yue Yin, Alexander Landauer, Selda Buyukozturk, Jing Zhang, Luke Summey, Alexander McGhee, Matthew Fu, John Dabiri, Christian Franck

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. A MATLAB software package implementing this numerical approach to track both 2D and 3D, incremental and cumulative deformation fields is provided.
Citation
SoftwareX
Volume
19

Keywords

particle tracking, topology-based feature, augmented Lagrangian, finite deformation

Citation

Yang, J. , Yin, Y. , Landauer, A. , Buyukozturk, S. , Zhang, J. , Summey, L. , McGhee, A. , Fu, M. , Dabiri, J. and Franck, C. (2022), SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking, SoftwareX, [online], https://doi.org/10.1016/j.softx.2022.101204, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934108 (Accessed September 23, 2022)
Created September 19, 2022