2013
DOI: 10.1007/s00006-013-0432-2
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Riemannian L p Averaging on Lie Group of Nonzero Quaternions

Abstract: This paper discusses quaternion $L^p$ geometric weighting averaging working on the multiplicative Lie group of nonzero quaternions $\mathbb{H}^{*}$, endowed with its natural bi-invariant Riemannian metric. Algorithms for computing the Riemannian $L^p$ center of mass of a set of points, with $1 \leq p \leq \infty$ (i.e., median, mean, $L^p$ barycenter and minimax center), are particularized to the case of $\mathbb{H}^{*}$.Two different approaches are considered. The first formulation is based on computing the l… Show more

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Cited by 9 publications
(7 citation statements)
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“…Gradients were formulated in terms of the Riemannian metric on the SO(3) manifold, and the Karcher mean was obtained with a Riemannian gradient descent method, which was shown to converge to the Karcher mean under reasonable conditions. Similar results were presented in (Angulo, 2014) for nonzero quaternions. In this work, the nonzero quaternions were treated as a Lie group with a Riemannian metric, and a range of optimization problems was discussed, including the Karcher mean for nonzero quaternions.…”
Section: Introductionsupporting
confidence: 86%
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“…Gradients were formulated in terms of the Riemannian metric on the SO(3) manifold, and the Karcher mean was obtained with a Riemannian gradient descent method, which was shown to converge to the Karcher mean under reasonable conditions. Similar results were presented in (Angulo, 2014) for nonzero quaternions. In this work, the nonzero quaternions were treated as a Lie group with a Riemannian metric, and a range of optimization problems was discussed, including the Karcher mean for nonzero quaternions.…”
Section: Introductionsupporting
confidence: 86%
“…The set of unit quaternions H u is a Lie group where the group action is the quaternion product (Angulo, 2014). The corresponding Lie algebra g is the set of vectors u ∈ R 3 , while the elements of the tangent plane T q H u at q ∈ H u are given by q ⊗ u.…”
Section: Unit Quaternions As a Lie Groupmentioning
confidence: 99%
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“…The algorithm for L 1 estimator can be used for this purpose by considering weights which represent the adaptivity, associated typically to bilateral kernels. That has been done for quaternionvalued images in Angulo (2013).…”
Section: Discussionmentioning
confidence: 99%
“…where H is the set of quaternions [8]. The addition and subtraction of two quaternions q 1 = η 1 + σ 1 and q 2 = η 2 + σ 2 is component-wise and given by…”
Section: A the Lie Group Su(2)mentioning
confidence: 99%