Articles liés à Facial Expression Recognition System: Extracting Expressions...

Facial Expression Recognition System: Extracting Expressions from Facial Images - Couverture souple

Bhatia, Madhulika

 
9783848493814: Facial Expression Recognition System: Extracting Expressions from Facial Images
Couverture souple
ISBN 10 : 3848493810 ISBN 13 : 9783848493814
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

A human face is a complex object with varying features.The work presents a face recognition system that uses eyes, nose & mouth approximations for training a neural network to recognize faces in different expressions such as natural, smiley, sad and surprised. The developed system is implemented using our face database and browsing images from the computer. We have developed an automatic facial expression recognition system using neural network classifiers. First, we use the rough contour estimation routine, mathematical morphology, and point contour detection method to extract the precise contours of the eyebrows, eyes, and mouth of a face image. Then we define 30 facial points .We choose 6 main action units, being composed of facial characteristic point’s movements, as the input vectors for expression classifiers including radial basis function network. Preprocessing of image is done in Matlab6.0 using various filters, segmentation ,location or tracking Then classification is done using neural networks classifier. Selected facial feature points were automatically trackes and extracted feature vectors were used to classify expression using Fuzzy logic control system.

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

Présentation de l'éditeur

A human face is a complex object with varying features.The work presents a face recognition system that uses eyes, nose & mouth approximations for training a neural network to recognize faces in different expressions such as natural, smiley, sad and surprised. The developed system is implemented using our face database and browsing images from the computer. We have developed an automatic facial expression recognition system using neural network classifiers. First, we use the rough contour estimation routine, mathematical morphology, and point contour detection method to extract the precise contours of the eyebrows, eyes, and mouth of a face image. Then we define 30 facial points .We choose 6 main action units, being composed of facial characteristic point’s movements, as the input vectors for expression classifiers including radial basis function network. Preprocessing of image is done in Matlab6.0 using various filters, segmentation ,location or tracking Then classification is done using neural networks classifier. Selected facial feature points were automatically trackes and extracted feature vectors were used to classify expression using Fuzzy logic control system.

Biographie de l'auteur

Madhulika Bhatia is working as a Assistant Professor in Department of Computer Science and Engineering at Amity University,noida.She holds diploma in Computer Science Engineering, B.E in Computer Science Engineering ,MBA in Information Technology,M.Tech in Computer Science & Pursuing Ph.D in Video Object Tracking,Amity University,Noida.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848493810
ISBN 13 
9783848493814
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
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