Identification of people by face recognition / Bouzit,Ahmed Amine  

Public ISBD Titre : Identification of people by face recognition Type de document : texte imprimé Auteurs : Bouzit,Ahmed Amine, Auteur ; Fella Berrimi, Directeur de thèse Editeur : Setif:UFA Année de publication : 2021 Importance : 1 vol (41 f .) Format : 29 cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Biometrics Face Index. décimale : 004 - Informatique Résumé : Face recognition is a challenging task in computer vision. Humans identify the face easily and successfully and evolve very precise visual skills, they can process a large amount of visual informations very quickly. However, scientists are trying for decades to learn the computer to recognize the face. Recently face recognition has attracted significant attention in the image analysis. Our goal is to develop an algorithm to obtain better results near-real-time using the principal component analysis (PCA) method, The PCA method consists of comparing characteristics of the query face to those known individuals in the face space spanned from the ORL database. Côte titre : MAI/0526 En ligne : https://drive.google.com/file/d/1kEymrQ7kRBMnq61vV5yVo0W8wOMZs_BV/view?usp=shari [...] Format de la ressource électronique : pdf Identification of people by face recognition [texte imprimé] / Bouzit,Ahmed Amine, Auteur ; Fella Berrimi, Directeur de thèse . - [S.l.] : Setif:UFA, 2021 . - 1 vol (41 f .) ; 29 cm. Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Biometrics Face Index. décimale : 004 - Informatique Résumé : Face recognition is a challenging task in computer vision. Humans identify the face easily and successfully and evolve very precise visual skills, they can process a large amount of visual informations very quickly. However, scientists are trying for decades to learn the computer to recognize the face. Recently face recognition has attracted significant attention in the image analysis. Our goal is to develop an algorithm to obtain better results near-real-time using the principal component analysis (PCA) method, The PCA method consists of comparing characteristics of the query face to those known individuals in the face space spanned from the ORL database. Côte titre : MAI/0526 En ligne : https://drive.google.com/file/d/1kEymrQ7kRBMnq61vV5yVo0W8wOMZs_BV/view?usp=shari [...] Format de la ressource électronique : pdf

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0526	MAI/0526	Mémoire	Bibliothéque des sciences	Anglais	Disponible Disponible

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