Face Recognition & Principal Component Analysis Method

Name: Face Recognition & Principal Component Analysis Method
Brand: LAP Lambert Academic Publishing
SKU: 9783659461453
Price: 36.66 EUR
Availability: InStock

Algorithm, Simulation & Discussion

Автор: Liton Chandra Paul, Abdulla al Suman

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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36.66 € 71.71 лв

This book mainly addresses the building of face recognition system and Principal Component Analysis...

Информация за книгата

Автор

Liton Chandra Paul, Abdulla al Suman

Език

Английски език

Корици

Книга - С меки корици

Издадена

2013

страници

EAN

9783659461453

Enbook ID

02201775

Издател

LAP Lambert Academic Publishing

Теглоt

137

Размери

150 x 220 x 5

Пълно описание

This book mainly addresses the building of face recognition system and Principal Component Analysis (PCA) method in details. PCA is a statistical approach used for reducing the number of variables in face recognition. In PCA, every image in the training set is represented as a linear combination of weighted eigenvectors called eigenfaces. These eigenvectors are obtained from covariance matrix of a training image set called as basis function. The weights are found out after selecting a set of most relevant Eigenfaces. Recognition is performed by projecting a test image onto the subspace spanned by the eigenfaces and then classification is done by measuring Euclidean distance. A number of experiments were done to evaluate the performance of the face recognition system. Here, I used a training database of students of ETE-07 series, RUET, Rajshahi-6204, Bangladesh.

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Face Recognition & Principal Component Analysis Method

Algorithm, Simulation & Discussion

Информация за книгата

Пълно описание

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също