9786200588159 - an efficient hybrid technique of feature extraction for facial expression recognition di rani, shilpa; lakhwani, kamlesh (4 risultati)
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 39,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A single technique can extract only some of feature of facial expression image, but hybrid methods of different techniques have all combined advantage for feature extraction. The author has proposed a hybrid feature extraction tech…nique based on the Discrete Cosine Transform, Wavelet transform, Gabor filter and Gaussian distribution. In the proposed scheme DCT and Discrete wavelet transform, Gabor filter and Gaussian distribution based feature extraction technique is applied separately and optimum features from each method is merged in a feature vector. Algorithms are implemented in Matlab and JAFEE dataset are used for experiment with ratio 70/30 of training/testing with adaboost classifiers for seven different facial expressions. The classification result of the proposed work is compared with DCT based feature extraction technique, Gabor Filter based feature technique, DWT based feature extraction technique and Gaussian distribution based technique. 72 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rani ShilpaShilpa Rani is currently the Assistant Prof., Dept of Information Technology, NEIL GOGTE Institute of Technology, Uppal, Hyderabad. She obtained her Bachelor of Technology Degree in Informat…ion Technology & her Masters de.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A single technique can extract only some of feature of facial expression image, but hybrid methods of different techniques have all combined advantage for feature extraction. The author has proposed a hybrid feature extraction techniqu…e based on the Discrete Cosine Transform, Wavelet transform, Gabor filter and Gaussian distribution. In the proposed scheme DCT and Discrete wavelet transform, Gabor filter and Gaussian distribution based feature extraction technique is applied separately and optimum features from each method is merged in a feature vector. Algorithms are implemented in Matlab and JAFEE dataset are used for experiment with ratio 70/30 of training/testing with adaboost classifiers for seven different facial expressions. The classification result of the proposed work is compared with DCT based feature extraction technique, Gabor Filter based feature technique, DWT based feature extraction technique and Gaussian distribution based technique.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,89
EUR 60,63 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A single technique can extract only some of feature of facial expression image, but hybrid methods of different techniques have all combined advantage for feature extraction. The author has proposed a hybrid feature extraction technique… based on the Discrete Cosine Transform, Wavelet transform, Gabor filter and Gaussian distribution. In the proposed scheme DCT and Discrete wavelet transform, Gabor filter and Gaussian distribution based feature extraction technique is applied separately and optimum features from each method is merged in a feature vector. Algorithms are implemented in Matlab and JAFEE dataset are used for experiment with ratio 70/30 of training/testing with adaboost classifiers for seven different facial expressions. The classification result of the proposed work is compared with DCT based feature extraction technique, Gabor Filter based feature technique, DWT based feature extraction technique and Gaussian distribution based technique.
