Sharif Digital Repository

Face recognition is one of the best biometrics in computer vision. Although researchers introduced this method many years ago, the most important improvement has occurred in the biometrics last decade. Face recognition was employed in areas such as passport checking, security issues and identification. It facilitates our daily life as we use it in our mobile phones and computers for unlocking our devices. Many approaches were employed in the face recognition applications. Some of them were single-modal like PCA, ICA and LDA and some others were multimodal like Visual + 3D or 3D + IR. Still, most of Face recognition methods suffer from environment changes like variations in illumination and... 

This thesis presents a novel approach for detection and recognition of multi-view faces whose location is unknown and the illumination conditions are varying. The illumination is a big problem in the face detection and recognition aspects. Two completely different methods are proposed for face detection in this thesis. Our proposed methods do not use the skin colour information for face detection. The detection of faces is accomplished after cancelling the effect of the various illumination conditions. Because of the independency of the approaches to the face’s skin colour, persons with every kind of skin colours are detected even in completely dark environments. Next, the detected faces are... 

Human face detection is an important research area with several applications such as human computer interface (HCI), face recognition, surveillance systems, security systems, and content-based image retrieval (CBIR). Face detection problem can be stated as “determining whether there are human faces in the image” and if there are “returning the location of each human face in the image” regardless of its position, size, scale, orientation, and lighting condition. In this thesis, we have proposed a new face detection method which combines the AdaBoost algorithm with skin color information and support vector machine (SVM). First, a cascade classifier based on AdaBoost is used to detect faces in... 

Most existing face recognition methods require several gallery (training) images per person for optimally training the system. On the other hand, in many real applications of face recognition such as law enforcement, driver’s license and identification by passport, generally only one image per person is available. However, “the variations between face images with different illumination and gestures are almost always larger than image variations due to change in face identity”, Therefore, in this thesis we have considered face recognition with changes in ambient lighting conditions and viewing angles where only one training image per person is availabe. A method have been proposed in which we... 

Detecting emotions and facial expressions, as a means of nonverbal communication between human and machines, has attracted a great deal of attention in recent decades with the developments in artificial intelligence and acknowledging the ties between robotics and future human life. Human face plays a key role in his communications and processing it in a video source for the sake of mood recognition could be employed in different applications such as improving human and machine communication and analysis of emotions in different circumstances. Facial expression detection is useful in understanding not only momentary emotions, but also mental activities, social interactions and psychological... 

The multi people tracking is considered a fundamental problem in computer vision, which has received considerable attention from academic and commercial fields. This issue deals with a set of proposed methods that track the movement path of several humans in a video-like sequence. The problem of multi people tracking is the foundation of other computer vision problems, including human gesture estimation, motion recognition, and behavioral analysis, and is mainly used in emerging fields such as automatic car driving, smart security, service robots, etc. Although many methods have been proposed and investigated to solve the above problem; But there are still serious challenges, such as severe... 

The purpose of this research is the design and fabrication of a mobile social robot for children with cancer. This robot is named Arash. Interaction with the robot can improve children's education, as well as their mental condition. Design and development of Arash robot project have been carried out in a number of M.Sc. projects. In the present study, it is specifically focused on three areas of activity:
1. Design and fabrication of the robot head (and the overall appearance of the robot)
2. Design and development of human-robot interactions
3. Social and educational interactions/interventions of the robot with children
In this study, with the cooperation of child...