As a hot research topic since the eighties, face recognition still seems to be a difficult and largely problem. Distortions caused by variations in illumination, expression and pose are the main challenges to be dealt with by researchers in this field. Efficient recognition algorithms, robust against such distortions, are the main motivations of this research. Based on a detailed review on the background and wide applications of Gabor wavelet and new transforms (Contourlet, Curvelet and Steerable Pyramid) have emerged despite their improved directional elements and other promising abilities compared to traditional wavelet transform. In this book we have introduced Steerable pyramid as a new feature extraction tool for face representation respectively recognition. We also proposed face recognition based on multiple features fusion that combine two different representations of the face image. We examine the impact of information fusion both at the feature level and at the score level. Finally an automatic user identification system, is presented.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
As a hot research topic since the eighties, face recognition still seems to be a difficult and largely problem. Distortions caused by variations in illumination, expression and pose are the main challenges to be dealt with by researchers in this field. Efficient recognition algorithms, robust against such distortions, are the main motivations of this research. Based on a detailed review on the background and wide applications of Gabor wavelet and new transforms (Contourlet, Curvelet and Steerable Pyramid) have emerged despite their improved directional elements and other promising abilities compared to traditional wavelet transform. In this book we have introduced Steerable pyramid as a new feature extraction tool for face representation respectively recognition. We also proposed face recognition based on multiple features fusion that combine two different representations of the face image. We examine the impact of information fusion both at the feature level and at the score level. Finally an automatic user identification system, is presented.
Dr Mohamed El aroussi has obtained his PHD degree in in computer science and telecommunication from the Faculty of Sciences, University Mohamed V-Agdal, Rabat, Morocco, 2009. Since then he has worked in different projects in the field of WSN Biometric embaded systems. He is the author of several articles published in reputed journals.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a hot research topic since the eighties, face recognition still seems to be a di cult and largely problem. Distortions caused by variations in illumination, expression and pose are the main challenges to be dealt with by researchers in this field. E cient recognition algorithms, robust against such distortions, are the main motivations of this research. Based on a detailed review on the background and wide applications of Gabor wavelet and new transforms (Contourlet, Curvelet and Steerable Pyramid) have emerged despite their improved directional elements and other promising abilities compared to traditional wavelet transform. In this book we have introduced Steerable pyramid as a new feature extraction tool for face representation respectively recognition. We also proposed face recognition based on multiple features fusion that combine two di erent representations of the face image. We examine the impact of information fusion both at the feature level and at the score level. Finally an automatic user identification system, is presented. 152 pp. Englisch. N° de réf. du vendeur 9783847324768
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: El aroussi MohamedDr Mohamed El aroussi has obtained his PHD degree in in computer science and telecommunication from the Faculty of Sciences, University Mohamed V-Agdal, Rabat, Morocco, 2009. Since then he has worked in different pr. N° de réf. du vendeur 5510146
Quantité disponible : Plus de 20 disponibles
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 152. N° de réf. du vendeur 26127763866
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 152 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 132790853
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 152. N° de réf. du vendeur 18127763856
Quantité disponible : 4 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -As a hot research topic since the eighties, face recognition still seems to be a di¿cult and largely problem. Distortions caused by variations in illumination, expression and pose are the main challenges to be dealt with by researchers in this ¿eld. E¿cient recognition algorithms, robust against such distortions, are the main motivations of this research. Based on a detailed review on the background and wide applications of Gabor wavelet and new transforms (Contourlet, Curvelet and Steerable Pyramid) have emerged despite their improved directional elements and other promising abilities compared to traditional wavelet transform. In this book we have introduced Steerable pyramid as a new feature extraction tool for face representation respectively recognition. We also proposed face recognition based on multiple features fusion that combine two di¿erent representations of the face image. We examine the impact of information fusion both at the feature level and at the score level. Finally an automatic user identi¿cation system, is presented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. N° de réf. du vendeur 9783847324768
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As a hot research topic since the eighties, face recognition still seems to be a di cult and largely problem. Distortions caused by variations in illumination, expression and pose are the main challenges to be dealt with by researchers in this field. E cient recognition algorithms, robust against such distortions, are the main motivations of this research. Based on a detailed review on the background and wide applications of Gabor wavelet and new transforms (Contourlet, Curvelet and Steerable Pyramid) have emerged despite their improved directional elements and other promising abilities compared to traditional wavelet transform. In this book we have introduced Steerable pyramid as a new feature extraction tool for face representation respectively recognition. We also proposed face recognition based on multiple features fusion that combine two di erent representations of the face image. We examine the impact of information fusion both at the feature level and at the score level. Finally an automatic user identification system, is presented. N° de réf. du vendeur 9783847324768
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Information Fusion towards a Robust Face Recognition System | Mohamed El Aroussi | Taschenbuch | 152 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783847324768 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 105431603
Quantité disponible : 5 disponible(s)