Skip to Main content Skip to Navigation
Conference papers

Generic Self-calibration of Central Cameras from Two “Real” Rotational Flows

Abstract : The generic central camera model can describe any imaging system with a single effective viewpoint. We are interested in the self-calibration of this model from only two rotations about non co-linear axes. Concisely, we show that the theoretical solution given in [1] performs correctly with real flow data, and that a simple iterative process can be used to improve the camera motion estimation. A method for the computation of smooth dense generic flows from rotational images is also presented and used in our experiments to compute “real” flows from both simulated and real images.
Document type :
Conference papers
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download
Contributor : Peter Sturm Connect in order to contact the contributor
Submitted on : Sunday, September 28, 2008 - 10:07:14 PM
Last modification on : Monday, September 29, 2008 - 9:18:23 AM
Long-term archiving on: : Friday, June 4, 2010 - 11:53:02 AM


Files produced by the author(s)


  • HAL Id : inria-00325325, version 1



Ferran Espuny, Jose I. Burgos Gil. Generic Self-calibration of Central Cameras from Two “Real” Rotational Flows. The 8th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras - OMNIVIS, Rahul Swaminathan and Vincenzo Caglioti and Antonis Argyros, Oct 2008, Marseille, France. ⟨inria-00325325⟩



Record views


Files downloads