We present a novel approach to localizing parts in images of human faces. The approach
combines the output of local detectors with a nonparametric set of global models for the part …

A method is provided for localizing parts of an object in an image by training local detectors
using labeled image exemplars with fiducial points corresponding to parts within the image …

Cheating and abnormal activities like-whispering, impersonation or hand contact are widely
involved in offline examination around the globe, this hinders the integrity and morality of fair …

The face is the first source of information that inspires the attractiveness of a human being,
for this reason; several studies were conducted in the aesthetic medicine or in the image …

A major obstacle that impacts the social and emotional well-being of people with mental
instability is cognitive impairment, especially the difficulty of having a limited capacity for …

Although research show that human recognition performance for unfamiliar faces is
relatively poor, when the sample is always available for analysis and becomes¿ familiar …

A major issue which divides the facial expressions from the other classification domains is
complicated behaviour of human to express the emotions which should be recognised with …

This thesis concerns face recognition in uncontrolled environments in which the images
used for training and test are collected from the real world instead of laboratories. Compared …

Getting familiar with a face is an important cognitive process in human perception of faces,
but little study has been reported on how to objectively measure the degree of familiarity. In …

In recent years, the demand for sophisticated surveillance systems has risen significantly. A
special case is indoor surveillance in smart environments such as smart homes or smart …