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Landmark Based Image Analysis Using by Rohr Karl (13 results)
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Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 2001. 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 2001. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Landmark-Based Image Analysis: Using Geometric and Intensity Models (Computational Imaging and Vision)
Book 13 of 20: Computational Imaging and VisionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Landmark-Based Image Analysis: Using Geometric and Intensity Models (Computational Imaging and Vision, 21)
Book 13 of 20: Computational Imaging and VisionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: As New. Unread book in perfect condition.
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Landmark-Based Image Analysis : Using Geometric and Intensity Models
Book 13 of 20: Computational Imaging and VisionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Landmark-Based Image Analysis : Using Geometric and Intensity Models
Book 13 of 20: Computational Imaging and VisionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Landmark-based Image Analysis: Using Geometric and Intensity Models (Computational Imaging and Vision)
Book 13 of 20: Computational Imaging and VisionPublished by Springer Netherlands, 2001
ISBN 10: 9048156300 ISBN 13: 9789048156306
Language: English
Paperback. Condition: Brand New. 320 pages. 9.00x6.00x0.73 inches. In Stock.
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Taschenbuch. Condition: Neu. Landmark-Based Image Analysis | Using Geometric and Intensity Models | Karl Rohr | Taschenbuch | xiv | Englisch | 2010 | Springer Netherland | EAN 9789048156306 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Landmark-Based Image Analysis : Using Geometric and Intensity Models
Book 13 of 20: Computational Imaging and VisionPublished by Springer Netherlands, 2010
ISBN 10: 9048156300 ISBN 13: 9789048156306
Language: English
Taschenbuch. Condition: 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 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.
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Landmark-Based Image Analysis : Using Geometric and Intensity Models
Book 13 of 20: Computational Imaging and VisionPublished by Springer Netherlands, Springer Netherlands, 2001
ISBN 10: 0792367510 ISBN 13: 9780792367512
Language: English
Buch. Condition: 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 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.
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Landmark-Based Image Analysis: Using Geometric and Intensity Models
Book 13 of 20: Computational Imaging and VisionSeller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 666.
