Face plays an important role in human communication. Facial expressions and gestures incorporate nonverbal information which contributes to human communication. By recognizing the facial expressions from facial images, a number of applications in the field of human computer interaction can be facilitated. Last two decades, the developments, as well as the prospects in the field of multimedia si...

Face perception is often characterized as depending on configural, rather than part-based, processing. Here we examined the relative contributions of configuration and parts to early "face-selective" processing at the M170, a magnetoencephalographic response approximately 170 ms after stimulus onset, using adaptation. Previously (Harris and Nakayama 2007), we showed that rapid successive presen...

As an important part of artificial intelligence and pattern recognition, facial expression recognition has drawn much attention recently and numerous methods have been proposed. Feature extraction is the most important part which directly affects the final recognition results. Independent component analysis (ICA) is a subspace analysis method, which is also a novel statistical technique in sign...

The prevalence of image and video capture along with public demand to view such recordings has made privacy protection a major concern. Redaction is used to obfuscate personally identifiable information such as faces, license plates, house numbers, and store fronts. Redaction aims to obfuscate targeted areas while maintaining scene context. We propose facial obfuscation methods that maintain co...

Face recognition is a wide area having many techniques to achieve the same. The aim of the paper is to introduce Thermal Imaging and to study how it can be used for facial recognition and also for deception detection. This paper looks into the single modal and multi modal face recognition techniques involving infrared (IR) imaging. It then moves to analyze facial variations to study deception u...

This paper presents a novel pairwise classification framework for face recognition (FR). In the framework, a two-class (intraand inter-personal) classification problem is considered and features are extracted using pairs of images. This approach makes it possible to incorporate prior knowledge through the selection of training image pairs and facilitates the application of the framework to tack...

Our work describes a computer aided system for indexing people in historical images based on facial recognition. A prototype has already been built and it is currently being applied to selected pictures from the Mineiro Public Archive ́s digital photographic database. The architecture of the system is described and explained briefly. The methods used in our work for facial detection and identifi...

This paper describes the vision system for a humanoid robot, which includes the mechanism that controls eyeball orientation and blinking process. Along with the mechanism designed, the orientation of the camera, integrated with controlling servomotors. This vision system is a bio-mimic, which is  designed to match the size of human eye. This prototype runs face recognition and identifies, match...

As part of the Face Recognition Technology (FERET) program, the U.S. Army Research Laboratory (ARL) conducted supervised government tests and evaluations of automatic face recognition algorithms. The goal of the tests was to provide an independent method of evaluating algorithms and assessing the state of the art in automatic face recognition. This report describes the design and presents the r...

Medical emergencies are part of the common daily lives of people in developing and under-developed economies. Frequently, some of these medical emergencies end up tragically for many people in these countries due to many reasons, one of which depends on the delivery of the medical treatment especially when the patient is uncommunicative or unresponsive. The ability of the attending medical pers...