Feasibility Study Of Gabor Wavelet For Detection Of Facial Expression: Facial Expression Recognition Based On Image Feature

Kumbhar, Mahesh; Jadhav, Ashish; Walunjkar, Mahesh; Kumbhar, Mahesh; Jadhav, Ashish; Walunjkar, Mahesh

ISBN 10: 3659459739 / ISBN 13: 9783659459733

Edité par Lap Lambert Academic Publishing, 2013

88 pages. 8.66x5.91x0.20 inches. In Stock. N° de réf. du vendeur 3659459739

Synopsis :

This book summarizes the use of Gabor wavelet in the facial expression recognition system. The recognition of facial expressions implies finding solutions to three distinct types of problems. The first one relates to detection of faces in the image. Once the face location is known, the second problem is the detection of the salient features within the facial areas. The final analysis consists by using any classification model and the extracted facial features will identify the correct facial expression. Gabor filter are used to extract the different features. The unique features for four classes (Ex. Happy, Sad, Surprise and Disgust) will be kept as a reference to the new input image. The new image features will apply to feed-forward neural networks (classifier) for recognition of four different facial expressions. In this study the Japanese Female Facial Expression (JAFFE) database used which contains expressers that expressed expressions.

Présentation de l'éditeur: This book summarizes the use of Gabor wavelet in the facial expression recognition system. The recognition of facial expressions implies finding solutions to three distinct types of problems. The first one relates to detection of faces in the image. Once the face location is known, the second problem is the detection of the salient features within the facial areas. The final analysis consists by using any classification model and the extracted facial features will identify the correct facial expression. Gabor filter are used to extract the different features. The unique features for four classes (Ex. Happy, Sad, Surprise and Disgust) will be kept as a reference to the new input image. The new image features will apply to feed-forward neural networks (classifier) for recognition of four different facial expressions. In this study the Japanese Female Facial Expression (JAFFE) database used which contains expressers that expressed expressions.

Détails bibliographiques

Titre : Feasibility Study Of Gabor Wavelet For ...
Éditeur : Lap Lambert Academic Publishing
Date d'édition : 2013
Reliure : Paperback
Etat : Brand New