Classification of Human Facial Expression:: An Application of Image Processing and Machine Learning - Couverture souple

Sohail, Abu Sayeed Md.

 
9783639068634: Classification of Human Facial Expression:: An Application of Image Processing and Machine Learning
Couverture souple
ISBN 10 : 3639068637 ISBN 13 : 9783639068634
Editeur : VDM Verlag Dr. Müller, 2008

Synopsis

This book describes a computer vision system fordetection and classification of 7 basic facialexpressions. Facial expressions are communicated bysubtle changes in one or more discrete features suchas tightening the lips, raising the eyebrows, openingand closing of eyes or certain combination of them,which can be identified through monitoring thechanges in muscles movements located around the aboveregions. In our research, an analytic facerepresentation consists of 15 feature points has beenused that identifies the principle muscle actions andprovides visual observation of the discrete featuresresponsible for each of the 7 basic emotions. Featurepoints from the region of mouth have been detected bysegmenting the lip contour applying a variationalformulation of the level set method. A multi-detectorapproach of facial feature point detection has beenutilized for identifying the points of interest fromthe region of eye, eyebrow and nose. Feature vectorscomposed of 15 features are then obtained from thesefeature points and used to train a SVM classifier sothat the system can classify facial expressions froman unknown face image with a certain level of accuracy.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book describes a computer vision system fordetection and classification of 7 basic facialexpressions. Facial expressions are communicated bysubtle changes in one or more discrete features suchas tightening the lips, raising the eyebrows, openingand closing of eyes or certain combination of them,which can be identified through monitoring thechanges in muscles movements located around the aboveregions. In our research, an analytic facerepresentation consists of 15 feature points has beenused that identifies the principle muscle actions andprovides visual observation of the discrete featuresresponsible for each of the 7 basic emotions. Featurepoints from the region of mouth have been detected bysegmenting the lip contour applying a variationalformulation of the level set method. A multi-detectorapproach of facial feature point detection has beenutilized for identifying the points of interest fromthe region of eye, eyebrow and nose. Feature vectorscomposed of 15 features are then obtained from thesefeature points and used to train a SVM classifier sothat the system can classify facial expressions froman unknown face image with a certain level of accuracy.

Biographie de l'auteur

Abu Sayeed Md. Sohail received Master’s in Computer Science fromConcordia University, Canada in August 2007. Presently he isworking there as a Ph.D. researcher. He has over 20 researchpublications in the area of Computer Vision. His researchinterest includes Computer Analysis of Facial Expressions, Designof Multimodal Human-Computer Interface.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2008
Langue
anglais
ISBN 10 
3639068637
ISBN 13 
9783639068634
Reliure
Broché
Nombre de pages
180
Coordonnées du fabricant
non disponible
Personne responsable
non disponible