Structure from Motion Using the Extended Kalman Filter - Couverture rigide

Livre 75 sur 153: Springer Tracts in Advanced Robotics

Civera, Javier ; Davison, Andrew J.; Mart�nez Montiel, Jos� Mar�a

9783642248337: Structure from Motion Using the Extended Kalman Filter

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ISBN 10 : 3642248330 ISBN 13 : 9783642248337

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2011

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This multidisciplinary review of signaling pathways that regulate circulatory and respiratory function focuses on those involved in cell signaling, from sensors and receptors on the cell surface to intracellular effectors that trigger molecule synthesis.

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�diteur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Date d'�dition: 2011
Langue: anglais
ISBN 10: 3642248330
ISBN 13: 9783642248337
Reliure: Reli�
Nombre de pages: 172
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75)

Civera, Javier; Davison, Andrew J.; Mart�nez Montiel, Jos� Mar�a

Edit� par Springer, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Structure from Motion Using the Extended Kalman Filter

Civera, Javier; Davison, Andrew J.; Montiel, Jose Maria Martinez

Edit� par Springer, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Structure from Motion using the Extended Kalman Filter (Hardcover)

Javier Civera

Edit� par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Hardcover. Etat : new. Hardcover. The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. The associated line of research has been known as Structure from Motion (SfM). An intense research effort during the latest decades has produced spectacular advances; the topic has reached a consistent state of maturity and most of its aspects are well known nowadays. 3D vision has immediate applications in many and diverse fields like robotics, videogames and augmented reality; and technological transfer is starting to be a reality. This book describes one of the first systems for sparse point-based 3D reconstruction and egomotion estimation from an image sequence; able to run in real-time at video frame rate and assuming quite weak prior knowledge about camera calibration, motion or scene. Its chapters unify the current perspectives of the robotics and computer vision communities on the 3D vision topic: As usual in robotics sensing, the explicit estimation and propagation of the uncertainty hold a central role in the sequential video processing and is shown to boost the efficiency and performance of the 3D estimation. On the other hand, some of the most relevant topics discussed in SfM by the computer vision scientists are addressed under this probabilistic filtering scheme; namely projective models, spurious rejection, model selection and self-calibration. The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783642248337

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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75)

Civera, Javier; Davison, Andrew J.; Mart�nez Montiel, Jos� Mar�a

Edit� par Springer, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75)

Civera, Javier; Davison, Andrew J.; Mart�nez Montiel, Jos� Mar�a

Edit� par Springer, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Structure from Motion using the Extended Kalman Filter

Javier Civera

Edit� par Springer Berlin Heidelberg Nov 2011, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

Neuf Couverture rigide

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. The associated line of research has been known as Structure from Motion (SfM). An intense research effort during the latest decades has produced spectacular advances; the topic has reached a consistent state of maturity and most of its aspects are well known nowadays. 3D vision has immediate applications in many and diverse fields like robotics, videogames and augmented reality; and technological transfer is starting to be a reality. This book describes one of the first systems for sparse point-based 3D reconstruction and egomotion estimation from an image sequence; able to run in real-time at video frame rate and assuming quite weak prior knowledge about camera calibration, motion or scene. Its chapters unify the current perspectives of the robotics and computer vision communities on the 3D vision topic: As usual in robotics sensing, the explicit estimation and propagation of the uncertainty hold a central role in the sequential video processing and is shown to boost the efficiency and performance of the 3D estimation. On the other hand, some of the most relevant topics discussed in SfM by the computer vision scientists are addressed under this probabilistic filtering scheme; namely projective models, spurious rejection, model selection and self-calibration. 188 pp. Englisch. N� de r�f. du vendeur 9783642248337

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Structure from Motion Using the Extended Kalman Filter

Jos? Mar?a Mart?nez Montiel Javier Civera Andrew J. Davison Jose Maria Martinez Montiel

Edit� par Springer, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Etat : New. pp. xvi + 172. N� de r�f. du vendeur 2658567955

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Structure from Motion Using the Extended Kalman Filter

Javier Civera|Andrew J. Davison|Jos� Mar�a Mart�nez Montiel

Edit� par Springer Berlin Heidelberg, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book presenting filtering techniques to perform 3D estimation from a monocular sequence in real-time Presents a complete system dealing with the main topics in 3D estimation from real images namely point and camera modelling, feature corres. N� de r�f. du vendeur 5053700

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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75, Band 75)

Javier Civera - Andrew J. Davison - Jos� Mar�a Mart�nez Montiel

Edit� par Springer, 2011

ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Hardcover. Etat : Sehr gut. Hardcover, sehr guter Zustand, Springer Verlag 2012, Versand weltweit / international shipping. N� de r�f. du vendeur at10-2109271p-9

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Structure from Motion Using the Extended Kalman Filter

Mart?nez Montiel Jos? Mar?a Civera Javier Davison Andrew J. Montiel Jose Maria Martinez

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ISBN 10 : 3642248330 ISBN 13 : 9783642248337

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Etat : New. Print on Demand pp. xvi + 172 61 Illus. (42 Col.). N� de r�f. du vendeur 50991820

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