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International Journal of Computer Vision

, Volume 91, Issue 2, pp 131–145 | Cite as

Generic Self-calibration of Central Cameras from Two Rotational Flows

  • Ferran EspunyEmail author
  • José I. Burgos Gil
Article

Abstract

We address the self-calibration of a smooth generic central camera from only two dense rotational flows produced by rotations of the camera about two unknown linearly independent axes passing through the camera centre. We give a closed-form theoretical solution to this problem, and we prove that it can be solved exactly up to a linear orthogonal transformation ambiguity. Using the theoretical results, we propose an algorithm for the self-calibration of a generic central camera from two rotational flows.

In order to solve the self-calibration problem using real images, we also study the computation of dense optical flows from image sequences acquired by the rotation of a smooth generic central camera. We propose a method for the computation of dense smooth generic flows from rotational camera motions using splines. The proposed methods are validated using both simulated and real image sequences.

Keywords

Generic camera Self-calibration Optical flow using splines Camera rotation Closed-form solutions 

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Dept. d’Àlgebra i GeometriaUniversitat de BarcelonaBarcelonaSpain
  2. 2.Science FacultyCRM, UABBarcelonaSpain

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