An efficient Exact-PGA algorithm for constant curvature manifolds

CVPR 2016 Rudrasis ChakrabortyDohyung SeoBaba C. Vemuri

Manifold-valued datasets are widely encountered in many computer vision tasks. A non-linear analog of the PCA, called the Principal Geodesic Analysis (PGA) suited for data lying on Riemannian manifolds was reported in literature a decade ago... (read more)

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