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Pyramidal Architectures Computer Vision by Cantoni Virginio (29 results)
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US$ 17.99
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Add to basketPaperback 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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Pyramidal Architectures for Computer Vision (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 1461360234 ISBN 13: 9781461360230
Language: English
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Pyramidal Architectures for Computer Vision (Advances in Computer Vision and Machine Intelligence)
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Add to basketPaperback. Condition: New.
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Condition: New. pp. 356 Index.
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Pyramidal Architectures for Computer Vision (Advances in Computer Vision and Machine Intelligence)
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Pyramidal Architectures for Computer Vision
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Pyramidal Architectures for Computer Vision
Published by Springer-Verlag New York Inc, 2013
ISBN 10: 1461360234 ISBN 13: 9781461360230
Language: English
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Add to basketPaperback. Condition: Brand New. 352 pages. 9.02x5.98x0.81 inches. In Stock.
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Add to basketTaschenbuch. 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.
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Pyramidal Architectures for Computer Vision (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 1461360234 ISBN 13: 9781461360230
Language: English
US$ 124.05
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Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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US$ 123.59
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Add to basketGebunden. 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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Add to basketHardcover. Condition: Brand New. 356 pages. 9.50x6.00x1.00 inches. In Stock.
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Pyramidal Architectures for Computer Vision
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Add to basketCondition: 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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Pyramidal Architectures for Computer Vision
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1461360234 ISBN 13: 9781461360230
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 521.
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Add to basketCondition: New. PRINT ON DEMAND pp. 356.
