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rdf:type
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Description
| - This work approaches the problem of recognizing emotional facial expressions in static images focusing on three preprocessing techniques for feature extraction, such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Gabor filters. These methods are commonly used for face recognition and the novelty consists in combining features provided by them in order to improve the performance of an automatic procedure for recognizing emotional facial expressions. Classification performance experiments, testing new expressions and new subjects, were performed on the Japanese Female Facial Expression (JAFFE) database using a Multi-Layer Perceptron (MLP) Neural Network as classifier. The best classification performance on new expressions was obtained combining PCA and LDA features (93% of correct recognition rate), whereas that on new subjects was obtained combining PCA, LDA and Gabor filter features (94% of correct recognition rate).
- This work approaches the problem of recognizing emotional facial expressions in static images focusing on three preprocessing techniques for feature extraction, such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Gabor filters. These methods are commonly used for face recognition and the novelty consists in combining features provided by them in order to improve the performance of an automatic procedure for recognizing emotional facial expressions. Classification performance experiments, testing new expressions and new subjects, were performed on the Japanese Female Facial Expression (JAFFE) database using a Multi-Layer Perceptron (MLP) Neural Network as classifier. The best classification performance on new expressions was obtained combining PCA and LDA features (93% of correct recognition rate), whereas that on new subjects was obtained combining PCA, LDA and Gabor filter features (94% of correct recognition rate). (en)
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Title
| - Combining Features for Recognizing Emotional Facial Expressions in Static Images
- Combining Features for Recognizing Emotional Facial Expressions in Static Images (en)
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skos:prefLabel
| - Combining Features for Recognizing Emotional Facial Expressions in Static Images
- Combining Features for Recognizing Emotional Facial Expressions in Static Images (en)
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skos:notation
| - RIV/00216305:26220/08:PU77334!RIV10-MSM-26220___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1ET301710509), Z(MSM0021630513)
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/08:PU77334
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Principal Component Analysis, Linear Discriminant Analysis, Gabor filters, facial features, basic emotions. (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - DE - Spolková republika Německo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - Lecture Notes in Computer Science (IF 0,513)
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Esposito, Anna
- Přinosil, Jiří
- Smékal, Zdeněk
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http://linked.open...ain/vavai/riv/wos
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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