Structure motion using extended de civera javier (26 resultados)
Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75, Band 75)
Martínez Montiel José, María, J. Davison Andrew und Javier Civera:
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hardcover. Condición: Gut. 188 Seiten; 9783642248337.3 Gewicht in Gramm: 500.
Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75)
Civera, Javier; Davison, Andrew J.; Martínez Montiel, José María
Idioma: Inglés
Editorial: Springer 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75)
Civera, Javier; Davison, Andrew J.; Martínez Montiel, José María
Idioma: Inglés
Editorial: Springer 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Structure from Motion Using the Extended Kalman Filter
Mart?nez Montiel Jos? Mar?a Javier Civera Andrew J. Davison Jose Maria Martinez Montiel
Idioma: Inglés
Editorial: Springer 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Condición: New. pp. xvi + 172.
Structure from Motion Using the Extended Kalman Filter
Jos? Mar?a Mart?nez Montiel Javier Civera Andrew J. Davison Jose Maria Martinez Montiel
Idioma: Inglés
Editorial: Springer 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Condición: New. pp. xvi + 172.
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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 - José María Martínez Montiel
Idioma: Inglés
Editorial: Springer 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Structure from Motion Using the Extended Kalman Filter
Civera, Javier/ Davison, Andrew J./ Martínez Montiel, Josemaría
Idioma: Inglés
Editorial: Springer Verlag 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Hardcover. Condición: Brand New. 2012 edition. 184 pages. 9.75x6.50x0.50 inches. In Stock.
Más imágenesIdioma: Inglés
Editorial: Springer 2014
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Taschenbuch. Condición: Neu. Structure from Motion using the Extended Kalman Filter | Javier Civera (u. a.) | Taschenbuch | xvi | Englisch | 2014 | Springer | EAN 9783642427862 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: prei…gu.
Idioma: Inglés
Editorial: Springer Berlin Heidelberg 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Taschenbuch. Condición: 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.
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Editorial: Springer 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Buch. Condición: 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 bee…n 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.
Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics, 75)
Civera, Javier, Davison, Andrew J., Martínez Montiel, José M
Idioma: Inglés
Editorial: Springer 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Structure from Motion using the Extended Kalman Filter (Springer Tracts in Advanced Robotics (75))
Civera, Javier, Davison, Andrew J., Martínez Montiel, José M
Idioma: Inglés
Editorial: Springer 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Structure from Motion using the Extended Kalman Filter Civera, Javier; Davison, Andrew J.; Martínez Montiel, José María
Civera, Javier; Davison, Andrew J.; Martínez Montiel, José María
Idioma: Inglés
Editorial: Springer-Verlag 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Hardcover. Condición: gut. 2011. Structure from Motion using the Extended Kalman Filter In deutscher Sprache. pages.
Idioma: Inglés
Editorial: Springer 2014
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Taschenbuch. Condición: 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 l…ine 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.
Idioma: Inglés
Editorial: Springer Berlin Heidelberg Nov 2011 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Buch. Condición: 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.
Idioma: Inglés
Editorial: Springer Berlin Heidelberg 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Gebunden. Condición: 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 poi…nt and camera modelling, feature corres.
Idioma: Inglés
Editorial: Springer Berlin Heidelberg 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Librería: moluna, Greven, Alemaniamoluna
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Condición: 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 cam…era modelling, feature corres.
Structure from Motion Using the Extended Kalman Filter
Jos? Mar?a Mart?nez Montiel Civera Javier Davison Andrew J. Montiel Jose Maria Martinez
Idioma: Inglés
Editorial: Springer 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Condición: New. Print on Demand pp. xvi + 172 61 Illus. (42 Col.).
Structure from Motion Using the Extended Kalman Filter
Jos? Mar?a Mart?nez Montiel Civera Javier Davison Andrew J. Montiel Jose Maria Martinez
Idioma: Inglés
Editorial: Springer 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Condición: New. PRINT ON DEMAND pp. xvi + 172.
Structure from Motion Using the Extended Kalman Filter
Mart?nez Montiel Jos? Mar?a Civera Javier Davison Andrew J. Montiel Jose Maria Martinez
Idioma: Inglés
Editorial: Springer 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Condición: New. Print on Demand pp. xvi + 172 61 Illus. (42 Col.).
Structure from Motion Using the Extended Kalman Filter
Mart?nez Montiel Jos? Mar?a Civera Javier Davison Andrew J. Montiel Jose Maria Martinez
Idioma: Inglés
Editorial: Springer 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. xvi + 172.
Idioma: Inglés
Editorial: Springer, Springer Spektrum Jan 2014 2014
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Taschenbuch. Condición: 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.
Idioma: Inglés
Editorial: Springer, Springer Spektrum Nov 2011 2011
Serie: Springer Tracts in Advanced Robotics, Libro 75 de 153. Libro 75 de 153 - Springer Tracts in Advanced Robotics
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 106,99
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Buch. Condición: 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 rese…arch 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.
