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Publicado por The International Society for Optical Engineering, Bellingham, WA, U.S.A., 1997
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Añadir al carritoSoft cover. Condición: Very Good. No Jacket. 1st Edition. Has all standard Library markings, pocket, labels, stamps, wear and soil to covers. CLEAN TEXT. Thank you for your purchase from Sunset Books! Help Promote World Literacy, GIVE a Book as a GIFT!! In stock, Ships from Ohio. Will not fit in Flat Rate Priority Mail envelope. USPS Variable Rate applies for Domestic or International Priority mail. WE COMBINE SHIPPING ON MULTIPLE PURCHASES!!!! Size: 4to. Ex-Library.
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Añadir al carritoTaschenbuch. Condición: Neu. Discrete Representation of Spatial Objects in Computer Vision | L. J. Latecki | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9789048149827 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Publicado por 1 Reinbek: Rowohlt (; 2 Mchn: Beck (1997); 3 St Augustin: infix (1992), 1994
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Añadir al carritoAlle Okrt., 670, 199, 95 S., 8°. (Gute, saunere Exemplarwe). Abgabe nur zusammen. Als kostenlose Zugabe: Peter R. Hofstätter, Gruppendynamik.Kritik der Massenpsychologie. Hbg: Rowohlt (1957). (Altersspuren, gut brauchbares Exemplar)., Mit Literatur und anderen Angaben. 1500 gr. 0.0.
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Añadir al carritoGebunden. Condición: New. One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main diffic.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main difficulty is that discrete representations are only approximations of the original objects, and can only be as accurate as the cell size allows. If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. To overcome this, digital shape features must be used that abstract from the inaccuracies of digital representation. In order to ensure the correspondence of continuous and digital features, it is necessary to relate shape features of the underlying continuous objects and to determine the necessary resolution of the digital representation. This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures. Audience: This book will be of interest to researchers and graduate students whose work involves computer vision, image processing, knowledge representation or representation of spatial objects.
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Añadir al carritoBuch. Condición: Neu. Neuware - One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main difficulty is that discrete representations are only approximations of the original objects, and can only be as accurate as the cell size allows. If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. To overcome this, digital shape features must be used that abstract from the inaccuracies of digital representation. In order to ensure the correspondence of continuous and digital features, it is necessary to relate shape features of the underlying continuous objects and to determine the necessary resolution of the digital representation. This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures. Audience: This book will be of interest to researchers and graduate students whose work involves computer vision, image processing, knowledge representation or representation of spatial objects.
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Idioma: Inglés
Publicado por Springer Netherlands Dez 2010, 2010
ISBN 10: 9048149827 ISBN 13: 9789048149827
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main difficulty is that discrete representations are only approximations of the original objects, and can only be as accurate as the cell size allows. If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. To overcome this, digital shape features must be used that abstract from the inaccuracies of digital representation. In order to ensure the correspondence of continuous and digital features, it is necessary to relate shape features of the underlying continuous objects and to determine the necessary resolution of the digital representation. This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures. Audience: This book will be of interest to researchers and graduate students whose work involves computer vision, image processing, knowledge representation or representation of spatial objects. 232 pp. Englisch.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main diffic.
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Añadir al carritoCondición: New. Print on Demand pp. 232 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 232.
Idioma: Inglés
Publicado por Springer, Springer Dez 2010, 2010
ISBN 10: 9048149827 ISBN 13: 9789048149827
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main difficulty is that discrete representations are only approximations of the original objects, and can only be as accurate as the cell size allows. If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. To overcome this, digital shape features must be used that abstract from the inaccuracies of digital representation. In order to ensure the correspondence of continuous and digital features, it is necessary to relate shape features of the underlying continuous objects and to determine the necessary resolution of the digital representation. This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures. Audience: This book will be of interest to researchers and graduate students whose work involves computer vision, image processing, knowledge representation or representation of spatial objects.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.