© 2013 Woo-han Yun et al. 1021 http://dx.doi.org/10.4218/etrij.13.2013.0054 Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis ch...

Research into facial expression recognition has predominantly been based upon near frontal view data. However, a recent 3D facial expression database (BU-3DFE database) has allowed empirical investigation of facial expression recognition across pose. In this paper, we investigate the effects of pose from frontal to profile view on facial expression recognition. Experiments are carried out on 10...

The purpose of the article is to research, analyze and consider general problems prospects using existing approaches face recognition (areas application, features differences). research methodology consists semantic analysis methods basic concepts in this subject area (theory practice pattern recognition, particular, facial images). considers development systems for recognition. novelty solutio...

OBJECTIVE It was proposed that the ability to recognize facial emotions is closely related to complex neurocognitive processes and/or skills related to theory of mind (ToM). This study examines whether ToM skills mediate the relationship between higher neurocognitive functions, such as reasoning ability, and facial emotion recognition. METHODS A total of 200 healthy subjects (101 males, 99 fe...

Face Recognition is having the importance to provide biometric authentication with easy image acquisition that can be used for online and offline applications. There are number of existing approaches for biometric facial recognition and classification. In this paper, some of the common and reliable approaches for facial recognition are explored. These approaches include PCA, LDA, KDA, Neural Ne...

Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realise facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include...

Research into facial expression recognition has predominantly been based upon near frontal view data. However, a recent 3D facial expression database (BU-3DFE database) has allowed empirical investigation of facial expression recognition across pose. In this paper, we investigate the effects of pose from frontal to profile view on facial expression recognition. Experiments are carried out on 10...

Human Emotion Recognition Clips Utilised Expert System was designed to recognise and interpret facial expressions of the observed person in an automatic way [1]. Still, input to HERCULES has been manually supplied. Through integrating HERCULES into the Integrated System for Facial Expression Recognition (ISFER) a complete process of automatic analysis of facial expressions has been achieved [2]...

Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a factorization technique which decomposes the appearance parameters coding a natural image. This technique is then used to perform facial expression synthesis on unseen faces showing any undetermined facial expression, as well as facial exp...