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SerialTrack: ScalE and rotation invariant augmented Lagrangian particle tracking

Yang, Jin and Yin, Yue and Landauer, Alexander K. and Buyukozturk, Selda and Zhang, Jing and Summey, Luke and McGhee, Alexander and Fu, Matt K. and Dabiri, John O. and Franck, Christian (2022) SerialTrack: ScalE and rotation invariant augmented Lagrangian particle tracking. SoftwareX, 19 . Art. No. 101204. ISSN 2352-7110. doi:10.1016/j.softx.2022.101204. https://resolver.caltech.edu/CaltechAUTHORS:20221020-736967400.8

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Abstract

We present a new particle tracking algorithm for accurately resolving large deformation and rotational motion fields, which takes advantage of both local and global particle tracking algorithms. We call this method ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking (SerialTrack). This method builds an iterative scale and rotation invariant topology-based feature vector for each particle within a multi-scale tracking algorithm. The global kinematic compatibility condition is applied as a global augmented Lagrangian constraint to enhance tracking accuracy. An open source software package implementing this numerical approach to track both 2D and 3D, incremental and cumulative deformation fields is provided.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.softx.2022.101204DOIArticle
ORCID:
AuthorORCID
Yang, Jin0000-0002-5967-980X
Landauer, Alexander K.0000-0003-2863-039X
Fu, Matt K.0000-0003-3949-7838
Dabiri, John O.0000-0002-6722-9008
Franck, Christian0000-0002-2347-620X
Additional Information:The authors thank the U.S. Office of Naval Research for research support under the “PANTHER” program, award number N000142112044 through Dr. Timothy Bentley. This research was performed in part while A.K.L. held an NRC Research Associateship award at the National Institute of Standards and Technology.
Group:GALCIT
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N000142112044
National Institute of Standards and Technology (NIST)UNSPECIFIED
DOI:10.1016/j.softx.2022.101204
Record Number:CaltechAUTHORS:20221020-736967400.8
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20221020-736967400.8
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117508
Collection:CaltechAUTHORS
Deposited By: Research Services Depository
Deposited On:28 Oct 2022 15:24
Last Modified:28 Oct 2022 15:24

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