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Eigenface: Eigenvalue, eigenvector and eigenspace, Computer vision, Facial recognition system, Alex Pentland, Craniofacial, anthropometry, Human physical appearance, Pattern recognition -

englanti
2026-03-14
125,22 € 166,96 €

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Eigenfaces are a set of eigenvectors used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classification. It is considered the first successful example of facial recognition technology. These eigenvectors are derived from the covariance matrix of the probab ... Täydellinen kuvaus

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Eigenfaces are a set of eigenvectors used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classification. It is considered the first successful example of facial recognition technology. These eigenvectors are derived from the covariance matrix of the probability distribution of the high-dimensional vector space of possible faces of human beings.

Lisätietoja

Julkaisija OmniScriptum
Julkaisuvuosi 2026
Kannen tyyppi Pehmeäkantinen
EAN 9786130698546
Kirjoita oma arvostelusi
Arvostelet: Eigenface: Eigenvalue, eigenvector and eigenspace, Computer vision, Facial recognition system, Alex Pentland, Craniofacial, anthropometry, Human physical appearance, Pattern recognition
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125,22 € 166,96 €