Pose estimation from airborne video sequences using a structural approach for the construction
of homographies and fundamental matrices
A structural knowledge-based search method is utilized for the estimation of geometric transforms
from airborne video sequences. Examples are projective planar homographies and constraints such
as the fundamental matrix. These estimations are calculated from correspondences of interest
points between two images. Different approaches are discussed to cope with the problem of
outlier-correspondences. To ensure any-time performance the search process is implemented
in a data-driven production system. The pose estimation from planar homographies is compared
to estimations from fundamental matrices. A fusion of both approaches is proposed. The image
processing is performed by bottom-up structural analysis using an assessment-driven control.
Examples are from the thermal spectral domain.
Michaelsen E, Stilla U (2004)
Pose estimation from airborne video sequences using a structural approach for the construction
of homographies and fundamental matrices.
In: Fred A, Caelli T, Duin RPW, Campilho A, Ridder Dde (eds)
Structural, syntactic, and statistical pattern recognition: S+SSPR 2004.
LNCS 3138,
Berlin: Springer,
486-494
[ Stilla.de/pub ]