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Feasibility Study of Gabor Wavelet for Detection of Facial Expression: Facial Expression Recognition Based on Image Feature - Tapa blanda
Sinopsis
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.
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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.
Biografía del autor
Qualification: Master In Engg.(Electronics & Telecommunication)HOD, Department of Electronics &Telecommunication, SVERI’s COE (Poly),Pandharpur.
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Feasibility Study of Gabor Wavelet for Detection of Facial Expression
Publicado por
LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 88 pp. Englisch. Nº de ref. del artículo: 9783659459733
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Feasibility Study of Gabor Wavelet for Detection of Facial Expression: Facial Expression Recognition Based on Image Feature
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
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Feasibility Study of Gabor Wavelet for Detection of Facial Expression: Facial Expression Recognition Based on Image Feature
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
Nuevo
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Feasibility Study of Gabor Wavelet for Detection of Facial Expression: Facial Expression Recognition Based on Image Feature
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
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Feasibility Study of Gabor Wavelet for Detection of Facial Expression
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
Nuevo
Tapa blanda
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Feasibility Study of Gabor Wavelet for Detection of Facial Expression
Publicado por
LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Nº de ref. del artículo: 9783659459733
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Feasibility Study of Gabor Wavelet for Detection of Facial Expression : Facial Expression Recognition Based on Image Feature
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783659459733
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Feasibility Study Of Gabor Wavelet For Detection Of Facial Expression: Facial Expression Recognition Based On Image Feature
Publicado por
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Nº de ref. del artículo: __3659459739
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Imagen de archivo
Feasibility Study Of Gabor Wavelet For Detection Of Facial Expression: Facial Expression Recognition Based On Image Feature
Publicado por
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659459739
ISBN 13: 9783659459733
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Nº de ref. del artículo: 3659459739
Gastos de envío:
EUR 28,70
De Reino Unido a Estados Unidos de America
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Cantidad disponible: 1 disponibles