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

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2026-03-14
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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 ... Pilns apraksts

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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.

Vairāk informācijas

Izdevējs OmniScriptum
Izlaides gads 2026
Vāka tips Mīkstais vāks
EAN 9786130698546
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Jūs vērtējat: Eigenface: Eigenvalue, eigenvector and eigenspace, Computer vision, Facial recognition system, Alex Pentland, Craniofacial, anthropometry, Human physical appearance, Pattern recognition
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116,87 € 166,96 €