Pyramidal Architectures Computer Vision by Cantoni Virginio (27 results)

Paperback Oct 23, 2012. Condition: Used: Acceptable. Plenum Press, 1994, in-8 cartonnage éditeur, 335 pages. Couverture en bel état. Intérieur frais. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l?intérieur de l?ouvrage. [BT5]. …

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Condition: New. pp. 356 Index.

Condition: Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

Paperback. Condition: Brand New. 352 pages. 9.02x5.98x0.81 inches. In Stock.

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Condition: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. …

Condition: New. In English.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computer vision deals with the problem of manipulating information contained in large quantities of sensory data, where raw data emerge from the transducing 6 7 sensors at rates between 10 to 10 pixels per second. Conventional general purpose computers are unable to achieve the computation rates required to op erate in real time or even in near real time, so massively parallel systems have been used since their conception in this important practical application area. The development of massively parallel computers was initially character ized by efforts to reach a speedup factor equal to the number of processing elements (linear scaling assumption). This behavior pattern can nearly be achieved only when there is a perfect match between the computational struc ture or data structure and the system architecture. The theory of hierarchical modular systems (HMSs) has shown that even a small number of hierarchical levels can sizably increase the effectiveness of very large systems. In fact, in the last decade several hierarchical architectures that support capabilities which can overcome performances gained with the assumption of linear scaling have been proposed. Of these architectures, the most commonly considered in com puter vision is the one based on a very large number of processing elements (PEs) embedded in a pyramidal structure. Pyramidal architectures supply the same image at different resolution lev els, thus ensuring the use of the most appropriate resolution for the operation, task, and image at hand. …

Taschenbuch. Condition: Neu. Pyramidal Architectures for Computer Vision | Virginio Cantoni (u. a.) | Taschenbuch | Advances in Computer Vision and Machine Intelligence | xvii | Englisch | 2012 | Springer | EAN 9781461360230 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: New. pp. 356 1st Edition.

Condition: New. pp. 356.

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Hardcover. Condition: Brand New. 356 pages. 9.50x6.00x1.00 inches. In Stock.

Gebunden. Condition: New. The authors provide an in-depth, comprehensive examination of hierarchical parallel systems within a comparative and taxonomical framework. They include a general introduction to hierarchical structures, possible topologies, and possible designs an in-dept.

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

Condition: New. Print on Demand pp. 356 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam.

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Condition: New. PRINT ON DEMAND pp. 356.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computer vision deals with the problem of manipulating information contained in large quantities of sensory data, where raw data emerge from the transducing 6 7 sensors at rates between 10 to 10 pixels per second. Conventional general purpose computers are unable to achieve the computation rates required to op erate in real time or even in near real time, so massively parallel systems have been used since their conception in this important practical application area. The development of massively parallel computers was initially character ized by efforts to reach a speedup factor equal to the number of processing elements (linear scaling assumption). This behavior pattern can nearly be achieved only when there is a perfect match between the computational struc ture or data structure and the system architecture. The theory of hierarchical modular systems (HMSs) has shown that even a small number of hierarchical levels can sizably increase the effectiveness of very large systems. In fact, in the last decade several hierarchical architectures that support capabilities which can overcome performances gained with the assumption of linear scaling have been proposed. Of these architectures, the most commonly considered in com puter vision is the one based on a very large number of processing elements (PEs) embedded in a pyramidal structure. Pyramidal architectures supply the same image at different resolution lev els, thus ensuring the use of the most appropriate resolution for the operation, task, and image at hand.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.…