Aug 16, 2016 · Extensive experiments are conducted on two large scale benchmark databases, COX-S2V and PaSC, with different recognition tasks: face ...

Oct 26, 2016 · Abstract—Still-to-video (S2V) face recognition has recently attracted attention from researchers because of its great applica-.

This work proposes to exploit a Grassmann manifold learning method to construct subspaces in between to find connections between the still images and video ...

In this paper, we address the problem of still-to-video. (S2V) face recognition. Still images usually have high qual- ities, captured from cooperative users ...

In this paper, we propose a novel approach for still-to-video face recognition in unconstrained environments. By assuming that faces from still images and video ...

This work proposes to exploit a Grassmann manifold learning method to construct subspaces in between to find connections between the still images and video ...

An image-set based face recognition algorithm is proposed that exploits the full geometrical interpretation of Canonical Correlation Analysis (CCA).

Face detection is the first step of end-to-end face recognition. It aims to locate the face regions in the still images or video frames. Before the deep ...

In this paper, we describe a novel method for face recognition using image sets. We propose a flexible, semi-parametric model for learning probability densities ...