Riemannian Median and Its Applications for Orientation Distribution Function Computing
Résumé
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces, and it has been generalized in analytical manifold in [1]. Recently, an intrinsic Riemannian framework for Orientation Distribution Function (ODF) was proposed for the calculation in ODF field [2]. In this work, we prove the unique existence of the Riemannian median in ODF space. Then we explore its two potential applications, median filtering and atlas estimation.
Domaines
Imagerie médicale| Origine | Fichiers produits par l'(les) auteur(s) |
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