An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds


Manifold-valued datasets are widely encountered in many computer vision tasks. A non-linear analog of the PCA algorithm, called the Principal Geodesic Analysis (PGA) algorithm suited for data lying on Riemannian manifolds was reported in literature a decade ago. Since the objective function in the PGA algorithm is highly non-linear and hard to solve… (More)
DOI: 10.1109/CVPR.2016.431

6 Figures and Tables


  • Presentations referencing similar topics