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Titlebook: Structure from Motion using the Extended Kalman Filter; Javier Civera,Andrew J. Davison,José María Martíne Book 2012 Springer Berlin Heide

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Introduction, that will be detailed in the rest of the book, covering aspects like the point feature model, efficient and robust correspondences search, model selection for degenerate configurations and internal self-calibration.
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Inverse Depth Parametrization,a feature is sufficiently accurate, its representation can safely be converted to the Euclidean XYZ form, and proposes a linearity index which allows automatic detection and conversion to maintain maximum efficiency –only low parallax features need be maintained in inverse depth form for long periods.
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Conclusions,hms for model selection and internal self-calibration. Together, the contributions presented in the different chapters of the book form a robust system for sequential scene and camera motion estimation potentially able to deal with . image sequence in real-time at 30 frames per second.
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978-3-642-42786-2Springer Berlin Heidelberg 2012
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https://doi.org/10.1007/978-3-642-24834-4Computer Vision; Robotics; SLAM; Structure from Motion
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Javier Civera,Andrew J. Davison,José María MartíneFirst 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; na
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