Riemannian level-set methods for tensor-valued data
Abstract
Description
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
11 pages, 03 figures, to be published in the proceedings of SSVM 2007, LNCS Springer