Riemannian level-set methods for tensor-valued data

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May 02, 2007
Mourad Zerai, Maher Moakher
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We present a novel approach for the derivation of PDE modeling curvature-driven flows for matrix-valued data. This approach is based on the Riemannian geometry of the manifold of Symmetric Positive Definite Matrices Pos(n).

* 11 pages, 03 figures, to be published in the proceedings of SSVM 2007, LNCS Springer  
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