Generic Self-calibration of Central Cameras from Two “Real” Rotational Flows - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

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.
Fichier principal
Vignette du fichier
A15CR.pdf (3.47 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00325325 , version 1 (28-09-2008)

Identifiers

  • HAL Id : inria-00325325 , version 1

Cite

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⟩

Collections

OMNIVIS2008
116 View
143 Download

Share

Gmail Facebook Twitter LinkedIn More