Video based facial expression recognition has been a long standing problem and attracted
growing attention recently. The key to a successful facial expression recognition system is to …

We consider kernel methods on general geodesic metric spaces and provide both negative
and positive results. First we show that the common Gaussian kernel can only be …

To meet the demands of vehicular networks, such as high throughput, high mobility, low
latency, heterogeneity, and scalability, SDN has been applied for raising the user …

In this paper, we propose a novel space-time geometric representation of human landmark
configurations and derive tools for comparison and classification. We model the temporal …

The attention paid to matrix manifolds has grown considerably in the computer vision
community in recent years. There are a wide range of important applications including face …

A multistage procedure to detect eye features is presented. Multiresolution and topographic
classification are used to detect the iris center. The eye corner is calculated combining valley …

Age estimation and face verification across aging are important problems with a wide range
of applications. It is well known that age and identity information are encoded in both texture …

Although facial expressions can be decomposed in terms of action units (AUs) as suggested
by the facial action coding system, there have been only a few attempts that recognize …

This chapter reviews the recent advances of the current non‐frontal facial emotion
recognition methods, including the three‐dimensional (3D) facial expression recognition …

Recent breakthroughs in deep learning using automated measurement of face and head
motion have made possible the first objective measurement of depression severity. While …