9789048156306 - landmark-based image analysis: using geometric and intensity models: 21 di rohr, karl (11 risultati)
Lingua: Inglese
Editore: Springer, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
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Condizione: New. In.
Lingua: Inglese
Editore: Springer, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
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Condizione: New. pp. 320.
Altre immaginiLingua: Inglese
Editore: Springer, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
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Taschenbuch. Condizione: Neu. Landmark-Based Image Analysis | Using Geometric and Intensity Models | Karl Rohr | Taschenbuch | Computational Imaging and Vision | xiv | Englisch | 2010 | Springer | EAN 9789048156306 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartman…n[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer Netherlands, 2001
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 320 pages. 9.00x6.00x0.73 inches. In Stock.
Lingua: Inglese
Editore: Springer, Springer, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using landmarks are rob…ustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images.
Lingua: Inglese
Editore: Springer, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Netherlands Dez 2010, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
- Brossura
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using l…andmarks are robustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images. 320 pp. Englisch.
Lingua: Inglese
Editore: Springer Netherlands, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
- Brossura
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advant…ages of using landmarks are robustness w.
Lingua: Inglese
Editore: Springer, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
- Brossura
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 320 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.
Lingua: Inglese
Editore: Springer, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
- Brossura
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 320.
Lingua: Inglese
Editore: Springer, Springer Dez 2010, 2010
Serie: Computational Imaging and Vision, Libro 13 di 20. Libro 13 di 20 - Computational Imaging and Vision
- Brossura
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using landm…arks are robustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch.
