2012 | OriginalPaper | Buchkapitel
Conclusions
verfasst von : Javier Civera, Andrew J. Davison, José María Martínez Montiel
Erschienen in: Structure from Motion using the Extended Kalman Filter
Verlag: Springer Berlin Heidelberg
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This chapter presents the main conclusions and summarizes the content of the book. The algorithms, models and methods presented in the previous chapters cover the main topics in sequential SfM or monocular SLAM: a projective point model, an efficient and robust search for correspondences and altorithms 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
any
image sequence in real-time at 30 frames per second.