Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning
Represent image set by mean, covariance and Gaussian for discriminant information. Heterogeneous Euclidean and Riemannian kernels are exploited and fused clearly. Clear superiority over state-of-the-art set-based methods is achieved in testing.
face recognition large-scale video hybrid euclidean-and-riemannian metric learning multiple heterogeneous statistics