Structure from Motion using the Extended Kalman Filter

Structure from Motion using the Extended Kalman Filter by Javier Civera, Andrew J. Davison, José María Martínez Montiel.

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 in...

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Bibliographic Details
Main Authors: Civera, Javier (Author), Davison, Andrew J. (Author), Martínez Montiel, José María (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Springer Tracts in Advanced Robotics, 75
Springer eBook Collection.
Subjects:
Robotics.
Automation.
Artificial intelligence.
Optical data processing.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Points at Infinity. Mosaics using the Extended Kalman Filter
  • Inverse Depth Parametrization
  • 1-Point RANSAC
  • Degenerate Camera Motions and Model Selection
  • Self-calibration
  • Conclusions.

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