Kontakt
Jak kupować
Dostawa
Doradca ds. zakupów
Face Recognition & Principal Component Analysis Method
Algorithm, Simulation & Discussion
Angielski
86 b
30 dni na zwrot towaru
Klienci kupili także
/
Miękka
134.00
zł
/
Miękka
199.96
zł
/
Miękka
123.67
zł
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.
Informacje o książce
Angielski
Podaruj tę książkę jeszcze dziś
To łatwe
1 Dodaj książkę do koszyka i wybierz „dostarczyć jako prezent” 2 W odpowiedzi wyślemy Ci bon 3 Książka dotrze na adres obdarowanegoMogłoby Cię także zainteresować
/
Miękka
136.11
zł
/
Miękka
101.98
zł
/
Miękka
146.15
zł
/
Miękka
146.15
zł
