Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …

The capacity to recognize faces under varied poses is a fundamental human ability that
presents a unique challenge for computer vision systems. Compared to frontal face …

Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

We develop a face recognition algorithm which is insensitive to large variation in lighting
direction and facial expression. Taking a pattern classification approach, we consider each …

We present a hybrid neural-network for human face recognition which compares favourably
with other methods. The system combines local image sampling, a self-organizing map …

We present a generative appearance-based method for recognizing human faces under
variation in lighting and viewpoint. Our method exploits the fact that the set of images of an …

Making recognition more reliable under uncontrolled lighting conditions is one of the most
important challenges for practical face recognition systems. We tackle this by combining the …

Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

Gesture recognition pertains to recognizing meaningful expressions of motion by a human,
involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an …