This paper is devoted to problem of face localization in color images, more particularly, to the task of grouping pixels with high skin probability to form possible face candidate regions. Using connected components analysis for pixels grouping has a significant drawback, for the noise of skin color detection and non-face skin-colored objects can form connected regions of skin pixels with vivid...

This study investigated the effectiveness of using online instruction as a supplement to a face-to-face introductory technology education course. Survey data were collected from 46 pre-service teachers. Findings indicated that when traditional face-to-face instruction was combined with online components, learning was enhanced over a single delivery mode. However, the blended approach adopted in...

We describe a dynamic face tracking system based on an integrated motion-based object tracking and model-based face detection framework. The motion-based tracker focuses attention for the face detector whilst the latter aids the tracking process. The system produces segmented face sequences from complex scenes with poor viewing conditions in surveillance applications. We also investigate a Gabo...

Little is known about the impact of chronic breathlessness (modified Medical Research Council (mMRC) score ≥2 for most days, at least three of the last six months) on health-related quality of life (Short Form-12 (SF-12)). 3005 adults from randomly selected households were interviewed face-to-face in South Australia. mMRC ≥2 community prevalence was 2.9%. Adjusted analyses showed clinically mea...

Face detection using components has been proved to produce superior results due to its robustness to occlusions and pose and illumination changes. A first level of processing is devoted to the detection of individual components, while a second level deals with the fusion of the component detectors. However, the fusion methods investigated up to now neglect the uncertainties that characterize th...

in this paper we revisit the classical approach of the didactic triangle designed for the classical learning situation (face to face) and adapt it to the situation of an adaptive learning system, we discuss also the different components involved in this didactic triangle and how they interact and influence the learning process in an adaptive learning system.

In this paper, we present an automated face recognition (AFR) system that contains two components: eye detection and face recognition. Based on invariant radial basis function (IRBF) networks and knowledge rules of facial topology, a hybrid neural method is proposed to localize human eyes and segment the face region from a scene. A dual eigenspaces method (DEM) is then developed to extract alge...

Knowledge transfer is no longer reducible to classical solutions such as face-to-face training, technical education or tutoring. Knowledge to be transferred is professional knowledge (Business Knowledge). It involves the whole Knowledge Capital within an organization. Identifying the knowledge components that are worthwhile transferring is not an easy task. This is the problem addressed in this...

Face Detection and Modeling for Recognition By Rein-Lien Hsu Face recognition has received substantial attention from researchers in biometrics, computer vision, pattern recognition, and cognitive psychology communities because of the increased attention being devoted to security, man-machine communication, content-based image retrieval, and image/video coding. We have proposed two automated re...

Two approaches are proposed for cross-pose face recognition, one is based on the 3D reconstruction of facial components and the other is based on the deep Convolutional Neural Network (CNN). Unlike most 3D approaches that consider holistic faces, the proposed approach considers 3D facial components. It segments a 2D gallery face into components, reconstructs the 3D surface for each component, a...