Isbn: 9786202528245 - modular independent component analysis approach for face recognition (5 resultados)

ISBN: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (5)

  • Nuevo (5)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2020

    6202528249 / 9786202528245

    • Tapa blanda

    Librería: preigu, Osnabrück, Alemaniapreigu

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 47,95

    Envío por EUR 70,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: 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. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Apr 2020, 2020

    6202528249 / 9786202528245

    • Tapa blanda
    • Impresión bajo demanda

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 54,90

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2020

    6202528249 / 9786202528245

    • Tapa blanda
    • Impresión bajo demanda

    Librería: moluna, Greven, Alemaniamoluna

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 45,45

    Envío por EUR 48,99 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: 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 .…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2020

    6202528249 / 9786202528245

    • Tapa blanda
    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 60,57

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Apr 2020, 2020

    6202528249 / 9786202528245

    • Tapa blanda
    • Impresión bajo demanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 54,90

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…