Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. In this paper, we report on the FERET database and the Sep...

Different eigenspace-based approaches have been proposed for the recognition of faces. They differ mostly in the kind of projection method been used and in the similarity matching criterion employed. The aim of this paper is to present a comparative study between some of these different approaches. This study considers theoretical aspects as well as experiments performed using a face database w...

In face recognition literature, 2D image based approaches are possibly the most promising ones. However , the 2D images/patterns can change dramatically in practice. In this paper, we rst study the performance degradation due to 2D distortions and illumination variations on the input images. We then propose several methods to improve the system performance. Finally experiments are carried out u...

In this paper, a kernel-based SOM-face method is proposed to recognize expression variant faces under the situation of only one training image per person. Based on the localization of the face, an unsupervised kernelSOM learning procedure is carried out to capture the common local features and the non-Euclidean structure of the image data, so that a compact and robust representation of the face...

Two critical performance characterizations of biometric algorithms including face recognition are identi cation and veri cation In face recognition FERET is the de facto standard evaluation methodology Identi cation performance of face recog nition algorithms on the FERET tests has been previously reported In this paper we report on veri cation performance obtained from the Sep FERET test Re su...

This paper deals with a facial recognition system and its verification using the RGB-D data obtained from the Kinect and FRAV3D database. The FRAV3D database contains 106 subjects, which involves approximately one woman after every three men. The Kinect database has17 images per 31 persons. The proposed algorithm computes a descriptor based on the entropy of RGB-D faces along with the saliency ...

1. Abstract: The construction of facial composites by assembling individual facial features is common in criminal investigations. Arguably, the best known such method is E-FIT (electronic facial identication technique). However, although humans have excellent facial recognition ability, it is widely recognised that they often have great difficulty recalling facial characteristics in sufficient ...

In this paper, we present an embedded system in which face recognition and facial expression recognition for Human-Robot Interaction are implemented. To detect face with a fast and reliable way, AdaBoost algorithm is used. Then, Principal Component Analysis is applied for recognizing the face. Gabor wavelets are combined with Enhanced Fisher Model for facial expression recognition. Performance ...

A system for detecting and analyzing behavior of a sports person from their facial expression extracted from a sports video from the basis of this project. Shot Segmentation, Object Frame Selection, Image Segmentation, Facial Feature Extraction and Facial Expression Recognition (FER) are the major steps included in developing Cognitive Analysis of Facial Expression Recognition system from Sport...

BACKGROUND We examined whether conduct disorder (CD) is associated with deficits in facial expression recognition and, if so, whether these deficits are specific to the early-onset form of CD, which emerges in childhood. The findings could potentially inform the developmental taxonomic theory of antisocial behaviour, which suggests that early-onset and adolescence-limited forms of CD are subjec...