The accuracies for many pattern recognition tasks have increased rapidly year by year,
achieving or even outperforming human performance. From the perspective of accuracy …

Driven by key law enforcement and commercial applications, research on face recognition
from video sources has intensified in recent years. The ensuing results have demonstrated …

Embedding methods have achieved success in face recognition by comparing facial
features in a latent semantic space. However, in a fully unconstrained face setting, the facial …

Recognizing faces in unconstrained videos is a task of mounting importance. While
obviously related to face recognition in still images, it has its own unique characteristics and …

Deep face recognition has achieved remarkable improvements due to the introduction of
margin-based softmax loss, in which the prototype stored in the last linear layer represents …

We propose a novel discriminative learning approach to image set classification by
modeling the image set with its natural second-order statistic, ie covariance matrix. Since …

Abstract The manifold of Symmetric Positive Definite (SPD) matrices has been successfully
used for data representation in image set classification. By endowing the SPD manifold with …

An emerging line of research has found that spherical spaces better match the underlying
geometry of facial images, as evidenced by the state-of-the-art facial recognition methods …

We introduce a novel method for face recognition from image sets. In our setting each test
and training example is a set of images of an individual's face, not just a single image, so …

We address the problem of comparing sets of images for object recognition, where the sets
may represent variations in an object's appearance due to changing camera pose and …