Gabor-Boosting Face Recognition

Name: Gabor-Boosting Face Recognition
Brand: VDM Verlag Dr. Müller
SKU: 9783639214604
Price: 81.42 EUR
Availability: InStock

From Machine Learning Perspective

Автор: Mian Zhou

Език:

Корици: С меки корици

Издател: VDM Verlag Dr. Müller

Наличност: Налично при издателя, по поръчка

Изпращаме след 17-27 дни

81.42 € 159.24 лв

In the past decade, face recognition has received much attention by both the commercial and public s...

Информация за книгата

Автор

Mian Zhou

Език

Английски език

Корици

Книга - С меки корици

Издадена

2009

страници

256

EAN

9783639214604

Enbook ID

06829349

Издател

VDM Verlag Dr. Müller

Теглоt

394

Размери

151 x 220 x 19

Пълно описание

In the past decade, face recognition has received much attention by both the commercial and public sectors in biometrics. This book describes a highly accurate appearance-based approach for face recognition - Gabor-Boosting.The strong performance of the Gabor-Boosting face recognition is highlighted by combining three key leading edge techniques - Gabor wavelet transform, AdaBoost, Support Vector Machine (SVM). The Gabor wavelet transform is used to extract features which describe texture variations of human faces. The AdaBoost algorithm is used to select most significant features which represent different individuals. The SVM constructs a classifier with high recognition accuracy. The Gabor-Boosting face recognition is extended into multi-class classification domain. The results show that the performance is improved by applying loosely controlled face recognition in the multi-class classification. The Gabor-Boosting face recognition is robust under conditions of small number of examples and selection-bias. It gives no false detections for impostors and high acceptance rate for clients in face verification.

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Gabor-Boosting Face Recognition

From Machine Learning Perspective

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също