@article{195410d7c6464185bf11419708aa7223,
title = "Logarithm-Based Methods for Interpolating Quaternion Time Series",
abstract = "In this paper, we discuss a modified quaternion interpolation method based on interpolations performed on the logarithmic form. This builds on prior work that demonstrated this approach maintains C2 continuity for prescriptive rotation. However, we develop and extend this method to descriptive interpolation, i.e., interpolating an arbitrary quaternion time series. To accomplish this, we provide a robust method of taking the logarithm of a quaternion time series such that the variables (Formula presented.) and (Formula presented.) have a consistent and continuous axis-angle representation. We then demonstrate how logarithmic quaternion interpolation out-performs Renormalized Quaternion Bezier interpolation by orders of magnitude.",
keywords = "interpolation, quaternions, rotations",
author = "Joshua Parker and Dionne Ibarra and David Ober",
note = "Funding Information: This research was primarily funded by the Engineer Research Development Center, US Army Corps of Engineers. Additionally, this research was partially supported in part by an appointment with the National Science Foundation (NSF) Mathematical Sciences Graduate Internship (MSGI) Program sponsored by the NSF Division of Mathematical Sciences. This program is administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and NSF. ORISE is managed for DOE by ORAU. All opinions expressed in this paper are the author{\textquoteright}s and do not necessarily reflect the policies and views of NSF, ORAU/ORISE, or DOE. Publisher Copyright: {\textcopyright} 2023 by the authors.",
year = "2023",
month = mar,
doi = "10.3390/math11051131",
language = "English",
volume = "11",
journal = "Mathematics",
issn = "2227-7390",
publisher = "MDPI AG",
number = "5",
}