Wenger stephan (18 resultados)

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Paperback or Softback. Condición: New. Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics: Dissertation. Book.

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Hardcover. Condición: Very Good. Estado de la sobrecubierta: Very Good. 5th Printing. 291 + viii pp. A great, almost spotlessly clean copy and dust jacket! Solidly and tightly bound, essentially and nearly flawless copy and dust jacket with minimal internal and external wear and use. Copy with crisp pages, clean text, and light shelf wear. Smooth covers. Minimally or mildly shelf worn. Dust jacket shows minimal wear around edges. Shimon Attie (Jacket Illustration) (ilustrador).…

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BroschiertBroschiert. Programme - Profile - Perspektiven. 254 Seiten, Cover leicht berieben, Seiten sehr gut. T 18151 Sprache: Deutsch Gewicht in Gramm: 750.

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Taschenbuch. Condición: 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.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt 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.…

Condición: 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.…

Taschenbuch. Condición: Neu. Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics | Dissertation | Stephan Wenger | Taschenbuch | 196 S. | Englisch | 2014 | BoD - Books on Demand | 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.…