Isbn: 9781441918260 - mathematical methods in computer vision: 133 (8 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2010

      1441918264 / 9781441918260

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      Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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      Condizione: New. In English.

    • Lingua: Inglese

      Editore: Springer, 2010

      1441918264 / 9781441918260

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      Taschenbuch. Condizione: Neu. Mathematical Methods in Computer Vision | Peter J. Olver (u. a.) | Taschenbuch | The IMA Volumes in Mathematics and its Applications | xii | Englisch | 2010 | Springer | EAN 9781441918260 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Springer, 2010

      1441918264 / 9781441918260

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Recent years have seen significant advances in the application of sophisticated mathematical theories to the problems arising in image processing. Basic issues include image smoothing and denoising, image enhancement, morphology, image compression, and segmentation (determining boundaries of objects-including problems of camera distortion and partial occlusion). Several mathematical approaches have emerged, including methods based on nonlinear partial differential equations, stochastic and statistical methods, and signal processing techniques, including wavelets and other transform theories. Shape theory is of fundamental importance since it is the bottleneck between high and low level vision, and formed the bridge between the two workshops on vision. The recent geometric partial differential equation methods have been essential in throwing new light on this very difficult problem area. Further, stochastic processes, including Markov random fields, have been used in a Bayesian framework to incorporate prior constraints on smoothness and the regularities of discontinuities into algorithms for image restoration and reconstruction. A number of applications are considered including optical character and handwriting recognizers, printed-circuit board inspection systems and quality control devices, motion detection, robotic control by visual feedback, reconstruction of objects from stereoscopic view and/or motion, autonomous road vehicles, and many others.

    • Lingua: Inglese

      Editore: Springer, 2010

      1441918264 / 9781441918260

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      Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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

    • Lingua: Inglese

      Editore: Springer, 2010

      1441918264 / 9781441918260

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

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

    • Lingua: Inglese

      Editore: Springer New York Nov 2010, 2010

      1441918264 / 9781441918260

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Recent years have seen significant advances in the application of sophisticated mathematical theories to the problems arising in image processing. Basic issues include image smoothing and denoising, image enhancement, morphology, image compression, and segmentation (determining boundaries of objects-including problems of camera distortion and partial occlusion). Several mathematical approaches have emerged, including methods based on nonlinear partial differential equations, stochastic and statistical methods, and signal processing techniques, including wavelets and other transform theories. Shape theory is of fundamental importance since it is the bottleneck between high and low level vision, and formed the bridge between the two workshops on vision. The recent geometric partial differential equation methods have been essential in throwing new light on this very difficult problem area. Further, stochastic processes, including Markov random fields, have been used in a Bayesian framework to incorporate prior constraints on smoothness and the regularities of discontinuities into algorithms for image restoration and reconstruction. A number of applications are considered including optical character and handwriting recognizers, printed-circuit board inspection systems and quality control devices, motion detection, robotic control by visual feedback, reconstruction of objects from stereoscopic view and/or motion, autonomous road vehicles, and many others. 172 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer New York, 2010

      1441918264 / 9781441918260

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Recent years have seen significant advances in the application of sophisticated mathematical theories to the problems arising in image processi.

    • Lingua: Inglese

      Editore: Springer, Springer Nov 2010, 2010

      1441918264 / 9781441918260

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume contains papers presented at two successful workshopsintegral to the IMA annual program on Mathematics in Multimedia, 20002001: Image Processing and Low Level Vision, and Image Analysis andHigh Level Vision.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.