Isbn: 9783642634857 - 3d dynamic scene analysis: a stereo based approach: 27 (springer series in information sciences) (11 resultados)

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    • Idioma: Inglés

      Editorial: Springer, 2012

      3642634850 / 9783642634857

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      Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    • Idioma: Inglés

      Editorial: Springer 1992-08-06, 1992

      3642634850 / 9783642634857

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      Librería: Chiron Media, Wallingford, Reino UnidoChiron Media

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      Paperback. Condición: New.

    • Idioma: Inglés

      Editorial: Springer, 2012

      3642634850 / 9783642634857

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      Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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      EUR 79,09

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      Cantidad disponible: 4 disponibles

      Condición: New. pp. 316.

    • Idioma: Inglés

      Editorial: Springer Berlin Heidelberg, 2012

      3642634850 / 9783642634857

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      Librería: moluna, Greven, Alemaniamoluna

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    • Idioma: Inglés

      Editorial: Springer, 2012

      3642634850 / 9783642634857

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

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      EUR 78,76

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      Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - he problem of analyzing sequences of images to extract three-dimensional T motion and structure has been at the heart of the research in computer vi sion for many years. It is very important since its success or failure will determine whether or not vision can be used as a sensory process in reactive systems. The considerable research interest in this field has been motivated at least by the following two points: 1. The redundancy of information contained in time-varying images can over come several difficulties encountered in interpreting a single image. 2. There are a lot of important applications including automatic vehicle driv ing, traffic control, aerial surveillance, medical inspection and global model construction. However, there are many new problems which should be solved: how to effi ciently process the abundant information contained in time-varying images, how to model the change between images, how to model the uncertainty inherently associated with the imaging system and how to solve inverse problems which are generally ill-posed. There are of course many possibilities for attacking these problems and many more remain to be explored. We discuss a few of them in this book based on work carried out during the last five years in the Computer Vision and Robotics Group at INRIA (Institut National de Recherche en Informatique et en Automatique).

    • Idioma: Inglés

      Editorial: Springer, 2012

      3642634850 / 9783642634857

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      Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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      Condición: Usado - Como Nuevo

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      Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Idioma: Inglés

      Editorial: Springer, 2012

      3642634850 / 9783642634857

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      Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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      EUR 46,22

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      Condición: new. Questo è un articolo print on demand.

    • Idioma: Inglés

      Editorial: Springer, Springer Okt 2012, 2012

      3642634850 / 9783642634857

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

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      EUR 53,49

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      Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -he problem of analyzing sequences of images to extract three-dimensional T motion and structure has been at the heart of the research in computer vi sion for many years. It is very important since its success or failure will determine whether or not vision can be used as a sensory process in reactive systems. The considerable research interest in this field has been motivated at least by the following two points: 1. The redundancy of information contained in time-varying images can over come several difficulties encountered in interpreting a single image. 2. There are a lot of important applications including automatic vehicle driv ing, traffic control, aerial surveillance, medical inspection and global model construction. However, there are many new problems which should be solved: how to effi ciently process the abundant information contained in time-varying images, how to model the change between images, how to model the uncertainty inherently associated with the imaging system and how to solve inverse problems which are generally ill-posed. There are of course many possibilities for attacking these problems and many more remain to be explored. We discuss a few of them in this book based on work carried out during the last five years in the Computer Vision and Robotics Group at INRIA (Institut National de Recherche en Informatique et en Automatique). 316 pp. Englisch.

    • Idioma: Inglés

      Editorial: Springer, 2012

      3642634850 / 9783642634857

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      Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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      Condición: New. Print on Demand pp. 316 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

    • Idioma: Inglés

      Editorial: Springer, 2012

      3642634850 / 9783642634857

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      Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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      EUR 79,40

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      Cantidad disponible: 4 disponibles

      Condición: New. PRINT ON DEMAND pp. 316.

    • Idioma: Inglés

      Editorial: Springer, Springer Okt 2012, 2012

      3642634850 / 9783642634857

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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      EUR 53,49

      Envío por EUR 60,00 
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      Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -he problem of analyzing sequences of images to extract three-dimensional T motion and structure has been at the heart of the research in computer vi sion for many years. It is very important since its success or failure will determine whether or not vision can be used as a sensory process in reactive systems. The considerable research interest in this field has been motivated at least by the following two points: 1. The redundancy of information contained in time-varying images can over come several difficulties encountered in interpreting a single image. 2. There are a lot of important applications including automatic vehicle driv ing, traffic control, aerial surveillance, medical inspection and global model construction. However, there are many new problems which should be solved: how to effi ciently process the abundant information contained in time-varying images, how to model the change between images, how to model the uncertainty inherently associated with the imaging system and how to solve inverse problems which are generally ill-posed. There are of course many possibilities for attacking these problems and many more remain to be explored. We discuss a few of them in this book based on work carried out during the last five years in the Computer Vision and Robotics Group at INRIA (Institut National de Recherche en Informatique et en Automatique).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch.