Face recognition is a difficult problem .Thedimension reduction and the skill to acquire minimumsize of feature vector required for face recognitionfor diverse facial expressions is a challenging taskin face recognition. Dimension reduction results inremoval of irrelevant variables along with noisetherein and a lower computation complexity ofsubsequent processing. This book addresses thechallenges of dimension reduction, choice of minimumsize feature vector for face recognition andminimization of adverse effects of varying facialexpressions on the recognition through reduction inimage resolution. Face images with varying imageresolution are obtained through image decimation.Improved recognition rate results are also reportedusing novel coefficients selection and optimizationmethods in DFT, DCT and DWT based face recognitionmethods. The experiments are carried out for variousimage resolutions using five different datasets.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Face recognition is a difficult problem .Thedimension reduction and the skill to acquire minimumsize of feature vector required for face recognitionfor diverse facial expressions is a challenging taskin face recognition. Dimension reduction results inremoval of irrelevant variables along with noisetherein and a lower computation complexity ofsubsequent processing. This book addresses thechallenges of dimension reduction, choice of minimumsize feature vector for face recognition andminimization of adverse effects of varying facialexpressions on the recognition through reduction inimage resolution. Face images with varying imageresolution are obtained through image decimation.Improved recognition rate results are also reportedusing novel coefficients selection and optimizationmethods in DFT, DCT and DWT based face recognitionmethods. The experiments are carried out for variousimage resolutions using five different datasets.
Muhammad Almas Anjum holds a doctoral degree in computerengineering from College of E&ME, National University of Sciencesand Technology, Pakistan.He has a considerable teaching experience and many international publications to his name.He has been reviewing the technical papers and reports of many international conferences and 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 -Face recognition is a difficult problem .Thedimension reduction and the skill to acquire minimumsize of feature vector required for face recognitionfor diverse facial expressions is a challenging taskin face recognition. Dimension reduction results inremoval of irrelevant variables along with noisetherein and a lower computation complexity ofsubsequent processing. This book addresses thechallenges of dimension reduction, choice of minimumsize feature vector for face recognition andminimization of adverse effects of varying facialexpressions on the recognition through reduction inimage resolution. Face images with varying imageresolution are obtained through image decimation.Improved recognition rate results are also reportedusing novel coefficients selection and optimizationmethods in DFT, DCT and DWT based face recognitionmethods. The experiments are carried out for variousimage resolutions using five different datasets. 188 pp. Englisch. N° de réf. du vendeur 9783844302783
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anjum Muhammad AlmasMuhammad Almas Anjum holds a doctoral degree in computerengineering from College of E&ME, National University of Sciencesand Technology, Pakistan.He has a considerable teaching experience and many international pu. N° de réf. du vendeur 5470779
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Face Recognition a Challenge in Biometrics | Image Resolution Issues in Face Recognition | Muhammad Almas Anjum (u. a.) | Taschenbuch | 188 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844302783 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106922423
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Face recognition is a difficult problem .Thedimension reduction and the skill to acquire minimumsize of feature vector required for face recognitionfor diverse facial expressions is a challenging taskin face recognition. Dimension reduction results inremoval of irrelevant variables along with noisetherein and a lower computation complexity ofsubsequent processing. This book addresses thechallenges of dimension reduction, choice of minimumsize feature vector for face recognition andminimization of adverse effects of varying facialexpressions on the recognition through reduction inimage resolution. Face images with varying imageresolution are obtained through image decimation.Improved recognition rate results are also reportedusing novel coefficients selection and optimizationmethods in DFT, DCT and DWT based face recognitionmethods. The experiments are carried out for variousimage resolutions using five different datasets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. N° de réf. du vendeur 9783844302783
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Face recognition is a difficult problem .Thedimension reduction and the skill to acquire minimumsize of feature vector required for face recognitionfor diverse facial expressions is a challenging taskin face recognition. Dimension reduction results inremoval of irrelevant variables along with noisetherein and a lower computation complexity ofsubsequent processing. This book addresses thechallenges of dimension reduction, choice of minimumsize feature vector for face recognition andminimization of adverse effects of varying facialexpressions on the recognition through reduction inimage resolution. Face images with varying imageresolution are obtained through image decimation.Improved recognition rate results are also reportedusing novel coefficients selection and optimizationmethods in DFT, DCT and DWT based face recognitionmethods. The experiments are carried out for variousimage resolutions using five different datasets. N° de réf. du vendeur 9783844302783
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA79638443027866
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