Spline Interpolation on the Sphere $$\mathbb {S}^{n}$$ S n

Ines Adouani and Chafik Samir ()
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Ines Adouani: University of Sousse, Higher Institute of Applied Sciences and Technology of Sousse (ISSAT)
Chafik Samir: University of Clermont Auvergne (UCA)

Chapter Chapter 3 in Regression and Fitting on Manifold-valued Data, 2024, pp 27-47 from Springer

Abstract: Abstract Spherical splines have applications across various domains, including cardiology, computer vision, geophysicsGeophysics, biology, astronomy, animation, robotics, and motion planning utilizing quaternions [1–4]. One noteworthy example occurs in vector cardiograms, where the electrical activity of the heart during a heartbeat is represented as a nearly planar orbit in $$\mathbb {R}^3$$ R 3 .In this context, spherical splines offer an effective approach for modeling and analyzing the intricate dynamics of cardiac electrical signals. These splines provide a flexible and efficient framework to capture the complexities of the heart’s electrical behavior, facilitating the interpretation and diagnosis of cardiac conditions [1, 2]. Another significant application arises in computer graphics and animation, specifically with spherical splines on the unit sphere $$\mathbb {S}^3$$ S 3 . This utilization enables the smooth representation of orientations of solid bodies, as quaternions can be interpreted as pairs of antipodal points on $$\mathbb {S}^3$$ S 3 . Spherical spline curves, in this case, offer a means to specify a smooth transitions of solid orientations, contributing to the creation of visually appealing and realistic animations in computer graphics [3–5].

Date: 2024
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DOI: 10.1007/978-3-031-61712-6_3

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