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Image Understanding using Sparse Representations (Synthesis Lectures on Image, Video, and Multimedia Processing)
Language: English
Published by Morgan & Claypool Publishers, 2014
ISBN 10: 162705359X ISBN 13: 9781627053594
paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Reconstruction-Free Compressive Vision for Surveillance Applications (Synthesis Lectures on Signal Processing)
Language: English
Published by Morgan & Claypool Publishers, 2019
ISBN 10: 1681735547 ISBN 13: 9781681735542
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Riemannian Computing in Computer Vision.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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vi, 391 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Image Understanding using Sparse Representations (Synthesis Lectures on Image, Video, and Multimedia Processing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Image Understanding using Sparse Representations
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Image Understanding using Sparse Representations
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Riemannian Computing in Computer Vision
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Riemannian Computing in Computer Vision
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319360957 ISBN 13: 9783319360959
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing, Springer International Publishing Aug 2016, 2016
ISBN 10: 3319360957 ISBN 13: 9783319360959
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volumeincludes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing, 2015
ISBN 10: 3319229567 ISBN 13: 9783319229560
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).
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US$ 241.92
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Add to basketPaperback. Condition: Brand New. reprint edition. 391 pages. 9.25x6.10x0.94 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 400 pages. 9.50x6.50x1.25 inches. In Stock.
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Image Understanding using Sparse Representations
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual co.
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Reconstruction-Free Compressive Vision for Surveillance Applications
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2019
ISBN 10: 3031014138 ISBN 13: 9783031014130
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances .
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Condition: new. Questo è un articolo print on demand.
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing Aug 2016, 2016
ISBN 10: 3319360957 ISBN 13: 9783319360959
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours). 400 pp. Englisch.
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319360957 ISBN 13: 9783319360959
US$ 135.26
US$ 57.88 shipping
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illustrates Riemannian computing theory on applications in computer vision, machine learning, and roboticsEmphasis on algorithmic advances that will allow re-application in other contextsWritten by leading researchers in computer vision and.
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing Nov 2015, 2015
ISBN 10: 3319229567 ISBN 13: 9783319229560
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours). 400 pp. Englisch.
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Condition: new. Questo è un articolo print on demand.
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing, 2015
ISBN 10: 3319229567 ISBN 13: 9783319229560
US$ 165.70
US$ 57.88 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illustrates Riemannian computing theory on applications in computer vision, machine learning, and roboticsEmphasis on algorithmic advances that will allow re-application in other contextsWritten by leading researchers in computer vision and.
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Riemannian Computing in Computer Vision
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319360957 ISBN 13: 9783319360959
Taschenbuch. Condition: Neu. Riemannian Computing in Computer Vision | Anuj Srivastava (u. a.) | Taschenbuch | vi | Englisch | 2016 | Springer International Publishing | EAN 9783319360959 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
