EUR 8,74
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Aggiungi al carrelloHardcover. Condizione: Near Fine. Condizione sovraccoperta: Near Fine. Previous owner signature. Light wear to boards and dust jacket. ; 8vo 8" - 9" tall; 389 pp.
EUR 10,45
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Aggiungi al carrellopaperback. Condizione: Good. Pages are crisp and clean, no marking. Cover is good. Binding is tight/good.
EUR 24,85
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Aggiungi al carrelloCondizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780262518901.
EUR 38,47
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Aggiungi al carrelloCondizione: New.
EUR 34,12
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
EUR 43,21
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Aggiungi al carrelloCondizione: New. In.
Da: Kloof Booksellers & Scientia Verlag, Amsterdam, Paesi Bassi
EUR 15,95
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Aggiungi al carrelloCondizione: as new. Cambridge, MA: The MIT Press, 1992. Hardcover. Dustjacket. 389 pp.-Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision. The eighteen chapters in Active Vision draw on traditional work in computer vision over the last two decades, particularly in the use of concepts of geometrical modeling and optical flow; however, they also concentrate on relatively new areas such as control theory, recursive statistical filtering, and dynamical modeling. English text. Condition : as new. Condition : as new copy. ISBN 9780262023511. Keywords : , Image processing.
EUR 56,60
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Aggiungi al carrelloPaperback. Condizione: Brand New. 389 pages. 9.10x6.10x1.10 inches. In Stock.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 50,32
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 45,30
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 50,06
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 529.
Da: moluna, Greven, Germania
EUR 37,69
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Andrew Blake is Managing Director of Microsoft Research Cambridge (UK), where he has led the Computer Vision Research Group since 1999.Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.Active Visi.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 46,75
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision. The eighteen chapters in Active Vision draw on traditional work in computer vision over the last two decades, particularly in the use of concepts of geometrical modeling and optical flow; however, they also concentrate on relatively new areas such as control theory, recursive statistical filtering, and dynamical modeling. Active Vision documents a change in emphasis, one that is based on the premise that an observer (human or computer) may be able to understand a visual environment more effectively and efficiently if the sensor interacts with that environment, moving through and around it, culling information selectively, and analyzing visual sensory data purposefully in order to answer specific queries posed by the observer. This method is in marked contrast to the more conventional, passive approach to computer vision where the camera is supposed to take in the whole scene, attempting to make sense of all that it sees.