Abstract de la publi numéro 6360
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.