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 Feature Extraction in Face Recognition. On the Use of Internal and External Features
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Feature Extraction in Face Recognition. On the Use of Internal and External Features

издательство Книга по Требованию Прочие виды транспорта
Cтраниц 180        мягкая обложка       
Аннотация:Psychological studies suggest that humans give a lot of importance to external features (hair, forehead and lateral zone). Traditionally, images are treated as high dimensional vectors with the pixel values. An important application using this technology is face classification, usually applied to: surveillance, biometric verification or gesture recognition in user-friendly interfaces. In the second part of this book we introduce a top-down fragment-based framework to model the external information of face images, solving the lack of alignment of the external regions and the extreme diversity among subjects. Feature extraction is used to reduce this dimensionality, learning invariant discriminant characteristics that improve the posterior classification on the face subspace. As technology evolves, we develop new devices equipped with embedded cameras. We conclude with some methods to combine internal and external features, improving the face classification results. The first part of this book introduces the classifier combination methods to derive a new family of feature extraction techniques making no specific statistical assumptions on the data to classify.
Издательство: Книга по Требованию
Год:2008
Цена:
2783 руб
Нет в наличии
Поиск: Feature Extraction in Face Recognition. On the Use of Internal and External Features
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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Английский, теоретическая грамматика

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