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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics: Dissertation
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics: Dissertation
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Informationsgesellschaft und schweizerische Sicherheitspolitik. Zürcher Beiträge zur Sicherheitspolitik und Konfliktforschung ; Nr. 53
Lingua: Tedesco
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Aggiungi al carrelloBroschiert. Condizione: Gut. 76 S. Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Deutsch Gewicht in Gramm: 200.
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The Modern Jewish Experience - Remembering the Lower East Side: American Jewish Reflections
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Editore: Indiana University Press, Bloomington & Indianapolis, IN, 2000
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics:Dissertation
Lingua: Inglese
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ISBN 10: 3735742998 ISBN 13: 9783735742995
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics: Dissertation
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Radio-Report
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ISBN 10: 3805833520 ISBN 13: 9783805833523
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Aggiungi al carrelloCondizione: Très bon. Ancien livre de bibliothèque. Edition 1998. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1998. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics : Dissertation
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of computer graphics deals with virtual representations of the real world. These can be obtained either through reconstruction of a model from measurements, or by directly modeling a virtual object, often on a real-world example. The former is often formalized as a regularized optimization problem, in which a data term ensures consistency between model and data and a regularization term promotes solutions that have high a priori probability.In this dissertation, different reconstruction problems in computer graphics are shown to be instances of a common class of optimization problems which can be solved using a uniform algorithmic framework. Moreover, it is shown that similar optimization methods can also be used to solve data-based modeling problems, where the amount of information that can be obtained from measurements is insufficient for accurate reconstruction.As real-world examples of reconstruction problems, sparsity and group sparsity methods are presented for radio interferometric image reconstruction in static and time-dependent settings. As a modeling example, analogous approaches are investigated to automatically create volumetric models of astronomical nebulae from single images based on symmetry assumptions.
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics
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Radio-Report
Lingua: Tedesco
Editore: Bonn: TR-Verlagsunion 1998, 1998
ISBN 10: 3805833520 ISBN 13: 9783805833523
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Aggiungi al carrelloBroschiertBroschiert. Programme - Profile - Perspektiven. 254 Seiten, Cover leicht berieben, Seiten sehr gut. Sprache: Deutsch Gewicht in Gramm: 750.
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The field of computer graphics deals with virtual representations of the real world. These can be obtained either through reconstruction of a model from measurements, or by directly modeling a virtual object, often on a real-world example. The former is often formalized as a regularized optimization problem, in which a data term ensures consistency between model and data and a regularization term promotes solutions that have high a priori probability.In this dissertation, different reconstruction problems in computer graphics are shown to be instances of a common class of optimization problems which can be solved using a uniform algorithmic framework. Moreover, it is shown that similar optimization methods can also be used to solve data-based modeling problems, where the amount of information that can be obtained from measurements is insufficient for accurate reconstruction.As real-world examples of reconstruction problems, sparsity and group sparsity methods are presented for radio interferometric image reconstruction in static and time-dependent settings. As a modeling example, analogous approaches are investigated to automatically create volumetric models of astronomical nebulae from single images based on symmetry assumptions. 196 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The field of computer graphics deals with virtual representations of the real world. These can be obtained either through reconstruction of a model from measurements, or by directly modeling a virtual object, often on a real-world example. The former is oft.
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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics | Dissertation
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics | Dissertation | Stephan Wenger | Taschenbuch | 196 S. | Englisch | 2014 | Books on Demand GmbH | EAN 9783735742995 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.
