Bibtex de la publication

@InProceedings{ BoGuCr2006.2,
author = {Bocquillon, BenoƮt and Gurdjos, Pierre and Crouzil, Alain},
title = "{Towards a guaranteed solution to plane-based self-calibration}",
booktitle = "{Asian Conference on Computer Vision (ACCV), Hyderabad, Inde, 13/01/2006-16/01/2006}",
year = {2006},
month = {janvier},
publisher = {Springer-Verlag},
address = {http://www.springerlink.com/},
volume = {1},
series = {LNCS},
number = {3851},
pages = {11--20},
language = {anglais},
keywords = {plane-based self-calibration, metric rectification, homography, absolute conic, circular points},
abstract = {We investigate the problemof self-calibrating a camera, from multiple views of a planar scene. By self-calibrating, we refer to the problem of simultaneously estimate the camera intrinsic parameters and the Euclidean structure of one 3D plane. A solution is usually obtained by solving a non-linear system via local optimization, with the critical issue of parameter initialization, especially the focal length. Arguing that these five parameters are inter-dependent, we propose an alternate problem formulation, with only three d.o.f., corresponding to three parameters to estimate. In the light of this, we are concerned with global optimization in order to get a guaranteed solution, with the shortest response time. Interval analysis provides an efficient numerical framework, that reveals to be highly performant, with regard to both estimation accuracy and time-consuming. }
}