Articles liés à Structure from Motion Using the Extended Kalman Filter
Structure from Motion Using the Extended Kalman Filter - Couverture rigide
Livre 75 sur 153: Springer Tracts in Advanced Robotics
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Structure from Motion using the Extended Kalman Filter (eng)
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Structure From Motion Using the Extended Kalman Filter: 75 (Springer Tracts in Advanced Robotics, 75) [Hardcover] [Nov 05, 2011] Civera, Javier; Davison, Andrew J. and Martínez Montiel, José María
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Structure from Motion using the Extended Kalman Filter
Edité par
Springer Berlin Heidelberg Nov 2011, 2011
ISBN 10 : 3642248330
ISBN 13 : 9783642248337
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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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 réf. du vendeur 9783642248337
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Structure from Motion Using the Extended Kalman Filter
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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 réf. du vendeur 5053700
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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75)
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Structure from Motion using the Extended Kalman Filter
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783642248337
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Structure from Motion Using the Extended Kalman Filter
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Etat : New. pp. xvi + 172. N° de réf. du vendeur 2658567955
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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75, Band 75)
Edité par
Springer, 2011
ISBN 10 : 3642248330
ISBN 13 : 9783642248337
Ancien ou d'occasion
Couverture rigide
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Hardcover. Etat : Sehr gut. Hardcover, sehr guter Zustand, Springer Verlag 2012, Versand weltweit / international shipping. N° de réf. du vendeur at10-2109271p-9
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Structure from Motion using the Extended Kalman Filter
Edité par
Springer, Springer Spektrum 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 - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch. N° de réf. du vendeur 9783642248337
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Structure from Motion Using the Extended Kalman Filter
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