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Synopsis
In the traditional ICA method the entire face image is considered for holistic approach of face recognition, hence large variation in pose or illumination will affect the recognition rate profoundly. In this approach dividing the face image in sub-images, independent components are obtained on these sub-images and used for face recognition. Here we have explored modular ICA approach with partition of facial images as well as with local facial components such as eyes, nose and mouth. The face recognition task affects due to presence of noise in facial images. We have experimented ICA algorithms for reduction of noise from facial images so as to reduce noise effect. The research work presented in this book and methods proposed for face recognition are unique and definitely will provide new way of analyzing facial features. This will be a good contribution for research in biometrics and image processing field.
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Modular Independent Component Analysis Approach for Face Recognition
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6202528249
ISBN 13 : 9786202528245
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the traditional ICA method the entire face image is considered for holistic approach of face recognition, hence large variation in pose or illumination will affect the recognition rate profoundly. In this approach dividing the face image in sub-images, independent components are obtained on these sub-images and used for face recognition. Here we have explored modular ICA approach with partition of facial images as well as with local facial components such as eyes, nose and mouth. The face recognition task affects due to presence of noise in facial images. We have experimented ICA algorithms for reduction of noise from facial images so as to reduce noise effect. The research work presented in this book and methods proposed for face recognition are unique and definitely will provide new way of analyzing facial features. This will be a good contribution for research in biometrics and image processing field. 112 pp. Englisch. N° de réf. du vendeur 9786202528245
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Modular Independent Component Analysis Approach for Face Recognition
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202528249
ISBN 13 : 9786202528245
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Karande KailashKarande Kailash Jagannath has completed his PhD in Electronics and Telecommunication from SRTM University, Nanded, India. He has total 100+ Publications in International and National Journals and Conferences. He has 5 . N° de réf. du vendeur 385946503
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Modular Independent Component Analysis Approach for Face Recognition
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202528249
ISBN 13 : 9786202528245
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the traditional ICA method the entire face image is considered for holistic approach of face recognition, hence large variation in pose or illumination will affect the recognition rate profoundly. In this approach dividing the face image in sub-images, independent components are obtained on these sub-images and used for face recognition. Here we have explored modular ICA approach with partition of facial images as well as with local facial components such as eyes, nose and mouth. The face recognition task affects due to presence of noise in facial images. We have experimented ICA algorithms for reduction of noise from facial images so as to reduce noise effect. The research work presented in this book and methods proposed for face recognition are unique and definitely will provide new way of analyzing facial features. This will be a good contribution for research in biometrics and image processing field. N° de réf. du vendeur 9786202528245
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EUR 60,57
Expédition à EUR 35
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Modular Independent Component Analysis Approach for Face Recognition
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6202528249
ISBN 13 : 9786202528245
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the traditional ICA method the entire face image is considered for holistic approach of face recognition, hence large variation in pose or illumination will affect the recognition rate profoundly. In this approach dividing the face image in sub-images, independent components are obtained on these sub-images and used for face recognition. Here we have explored modular ICA approach with partition of facial images as well as with local facial components such as eyes, nose and mouth. The face recognition task affects due to presence of noise in facial images. We have experimented ICA algorithms for reduction of noise from facial images so as to reduce noise effect. The research work presented in this book and methods proposed for face recognition are unique and definitely will provide new way of analyzing facial features. This will be a good contribution for research in biometrics and image processing field.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. N° de réf. du vendeur 9786202528245
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Modular Independent Component Analysis Approach for Face Recognition
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202528249
ISBN 13 : 9786202528245
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Modular Independent Component Analysis Approach for Face Recognition | Kailash Karande (u. a.) | Taschenbuch | 112 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202528245 | 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 118403406
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