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Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction: 3008 (Lecture Notes in Computer Science) - Softcover
Inhaltsangabe
Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis.
This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms.
The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.
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Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis.
This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms.
The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagSpringer
- Erscheinungsdatum2008
- ISBN 10 3540220291
- ISBN 13 9783540220299
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten228
- Kontakt zum HerstellerNicht verfügbar
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Uncertain Projective Geometry
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, . Bestandsnummer des Verkäufers 4885324
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Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction Lecture Notes in Computer Science, 3008
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Broschiert. Zustand: Gut. 205 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 360. Bestandsnummer des Verkäufers 2201271
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Uncertain Projective Geometry
ISBN 10: 3540220291
ISBN 13: 9783540220299
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Taschenbuch. Zustand: Neu. Neuware -Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis.This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms.The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch. Bestandsnummer des Verkäufers 9783540220299
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Uncertain Projective Geometry : Statistical Reasoning for Polyhedral Object Reconstruction
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis. Bestandsnummer des Verkäufers 9783540220299
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Uncertain Projective Geometry
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Springer Berlin Heidelberg Apr 2004, 2004
ISBN 10: 3540220291
ISBN 13: 9783540220299
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis. 228 pp. Englisch. Bestandsnummer des Verkäufers 9783540220299
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Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction (Lecture Notes in Computer Science, 3008)
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Uncertain Projective Geometry : Statistical Reasoning for Polyhedral Object Reconstruction
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Uncertain Projective Geometry : Statistical Reasoning For Polyhedral Object Reconstruction
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Uncertain Projective Geometry : Statistical Reasoning For Polyhedral Object Reconstruction
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Uncertain Projective Geometry : Statistical Reasoning For Polyhedral Object Reconstruction
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